1
|
TIAN H, YANG Y, ZHANG H, ZHAO W, ZHOU J, TIAN J, HE L, LI X, SHEN Q, SHUAI M. Efficacy of Daoyin combined with lower limb robot as a comprehensive rehabilitation intervention for stroke patients: a randomized controlled trial. J TRADIT CHIN MED 2024; 44:530-536. [PMID: 38767637 PMCID: PMC11077147 DOI: 10.19852/j.cnki.jtcm.20240322.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 11/22/2023] [Indexed: 05/22/2024]
Abstract
OBJECTIVE To assess the effectiveness of a comprehensive rehabilitation approach combining Traditional Chinese Medicine Daoyin with lower limb robotics during the recovery phase of stroke patients. METHODS Stroke patients meeting the specified criteria were randomly assigned to one of four groups using a random number table: Control group, Daoyin group, lower limb robot group (LLR group), and Daoyin and lower limb robot group (DLLR group). Each group received distinct treatments based on conventional rehabilitation training. The treatment duration spanned two weeks with two days of rest per week. Pre- and post-intervention assessments included various scales: Fugl-Meyer Assessment (FMA), Berg balance scale (BBS), Barthel index (BI), Fatigue Scale-14 (FS-14), Pittsburgh sleep quality index (PSQI), Hamilton Anxiety Scale (HAMA), and Hamilton Depression Scale (HAMD). RESULTS Statistically significant differences were observed in the lower limb function measured by FAM between the Control group (15 ± 5) and the DLLR group (18 ± 5) (P = 0.049). In the Barthel index, a statistically significant difference was noted between the Control group (54 ± 18) and the DLLR group (64 ± 11) (P = 0.041). Additionally, significant differences were found in the Berg balance scale between the Control group (21 ± 10) and the DLLR group (27 ± 8) (P = 0.024), as well as between the Control group (21 ± 10) and the LLR group (26 ± 10) (P = 0.048). CONCLUSION The findings of this study suggest that the combined use of Daoyin and robotics not only enhances motor function in stroke patients but also has a positive impact on fatigue, sleep quality, and mood. This approach may offer a more effective rehabilitation strategy for stroke patients.
Collapse
Affiliation(s)
- Haolin TIAN
- 1 Department of First Rehabilitation, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing 100102, China
| | - Yuanbin YANG
- 1 Department of First Rehabilitation, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing 100102, China
| | - Hu ZHANG
- 2 Department of Rehabilitation, Shunyi Hospital, Beijing Traditional Chinese Medicine Hospital, Beijing 101300, China
| | - Wenjing ZHAO
- 1 Department of First Rehabilitation, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing 100102, China
| | - Jing ZHOU
- 1 Department of First Rehabilitation, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing 100102, China
| | - Jingfeng TIAN
- 1 Department of First Rehabilitation, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing 100102, China
| | - Long HE
- 1 Department of First Rehabilitation, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing 100102, China
| | - Xuechao LI
- 1 Department of First Rehabilitation, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing 100102, China
| | - Qinxuan SHEN
- 1 Department of First Rehabilitation, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing 100102, China
| | - Mei SHUAI
- 3 School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China
| |
Collapse
|
2
|
Hirano S, Saitoh E, Imoto D, Ii T, Tsunoda T, Otaka Y. Effects of robot-assisted gait training using the Welwalk on gait independence for individuals with hemiparetic stroke: an assessor-blinded, multicenter randomized controlled trial. J Neuroeng Rehabil 2024; 21:76. [PMID: 38745235 PMCID: PMC11092154 DOI: 10.1186/s12984-024-01370-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 05/02/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND Gait disorder remains a major challenge for individuals with stroke, affecting their quality of life and increasing the risk of secondary complications. Robot-assisted gait training (RAGT) has emerged as a promising approach for improving gait independence in individuals with stroke. This study aimed to evaluate the effect of RAGT in individuals with subacute hemiparetic stroke using a one-leg assisted gait robot called Welwalk WW-1000. METHODS An assessor-blinded, multicenter randomized controlled trial was conducted in the convalescent rehabilitation wards of eight hospitals in Japan. Participants with first-ever hemiparetic stroke who could not walk at pre-intervention assessment were randomized to either the Welwalk group, which underwent RAGT with conventional physical therapy, or the control group, which underwent conventional physical therapy alone. Both groups received 80 min of physical therapy per day, 7 days per week, while the Welwalk group received 40 min of RAGT per day, 6 days per week, as part of their physical therapy. The primary outcome was gait independence, as assessed using the Functional Independence Measure Walk Score. RESULTS A total of 91 participants were enrolled, 85 of whom completed the intervention. As a result, 91 participants, as a full analysis set, and 85, as a per-protocol set, were analyzed. The primary outcome, the cumulative incidence of gait-independent events, was not significantly different between the groups. Subgroup analysis revealed that the interaction between the intervention group and stroke type did not yield significant differences in either the full analysis or per-protocol set. However, although not statistically significant, a discernible trend toward improvement with Welwalk was observed in cases of cerebral infarction for the full analysis and per-protocol sets (HR 4.167 [95%CI 0.914-18.995], p = 0.065, HR 4.443 [95%CI 0.973-20.279], p = 0.054, respectively). CONCLUSIONS The combination of RAGT using Welwalk and conventional physical therapy was not significantly more effective than conventional physical therapy alone in promoting gait independence in individuals with subacute hemiparetic stroke, although a trend toward earlier gait independence was observed in individuals with cerebral infarction. TRIAL REGISTRATION This study was registered with the Japan Registry of Clinical Trials ( https://jrct.niph.go.jp ; jRCT 042180078) on March 3, 2019.
Collapse
Affiliation(s)
- Satoshi Hirano
- Department of Rehabilitation Medicine, School of Medicine, Fujita Health University, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
| | - Eiichi Saitoh
- Department of Rehabilitation Medicine, School of Medicine, Fujita Health University, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan
| | - Daisuke Imoto
- Department of Rehabilitation, Fujita Health University Hospital, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan
| | - Takuma Ii
- Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan
| | - Tetsuya Tsunoda
- Department of Rehabilitation Medicine, School of Medicine, Fujita Health University, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan
| | - Yohei Otaka
- Department of Rehabilitation Medicine, School of Medicine, Fujita Health University, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan
| |
Collapse
|
3
|
Gooch HJ, Jarvis KA, Stockley RC. Behavior Change Approaches in Digital Technology-Based Physical Rehabilitation Interventions Following Stroke: Scoping Review. J Med Internet Res 2024; 26:e48725. [PMID: 38656777 PMCID: PMC11079774 DOI: 10.2196/48725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 11/14/2023] [Accepted: 12/26/2023] [Indexed: 04/26/2024] Open
Abstract
BACKGROUND Digital health technologies (DHTs) are increasingly used in physical stroke rehabilitation to support individuals in successfully engaging with the frequent, intensive, and lengthy activities required to optimize recovery. Despite this, little is known about behavior change within these interventions. OBJECTIVE This scoping review aimed to identify if and how behavior change approaches (ie, theories, models, frameworks, and techniques to influence behavior) are incorporated within physical stroke rehabilitation interventions that include a DHT. METHODS Databases (Embase, MEDLINE, PsycINFO, CINAHL, Cochrane Library, and AMED) were searched using keywords relating to behavior change, DHT, physical rehabilitation, and stroke. The results were independently screened by 2 reviewers. Sources were included if they reported a completed primary research study in which a behavior change approach could be identified within a physical stroke rehabilitation intervention that included a DHT. Data, including the study design, DHT used, and behavior change approaches, were charted. Specific behavior change techniques were coded to the behavior change technique taxonomy version 1 (BCTTv1). RESULTS From a total of 1973 identified sources, 103 (5%) studies were included for data charting. The most common reason for exclusion at full-text screening was the absence of an explicit approach to behavior change (165/245, 67%). Almost half (45/103, 44%) of the included studies were described as pilot or feasibility studies. Virtual reality was the most frequently identified DHT type (58/103, 56%), and almost two-thirds (65/103, 63%) of studies focused on upper limb rehabilitation. Only a limited number of studies (18/103, 17%) included a theory, model, or framework for behavior change. The most frequently used BCTTv1 clusters were feedback and monitoring (88/103, 85%), reward and threat (56/103, 54%), goals and planning (33/103, 32%), and shaping knowledge (33/103, 32%). Relationships between feedback and monitoring and reward and threat were identified using a relationship map, with prominent use of both of these clusters in interventions that included virtual reality. CONCLUSIONS Despite an assumption that DHTs can promote engagement in rehabilitation, this scoping review demonstrates that very few studies of physical stroke rehabilitation that include a DHT overtly used any form of behavior change approach. From those studies that did consider behavior change, most did not report a robust underpinning theory. Future development and research need to explicitly articulate how including DHTs within an intervention may support the behavior change required for optimal engagement in physical rehabilitation following stroke, as well as establish their effectiveness. This understanding is likely to support the realization of the transformative potential of DHTs in stroke rehabilitation.
Collapse
Affiliation(s)
- Helen J Gooch
- Stroke Research Team, School of Nursing and Midwifery, University of Central Lancashire, Preston, United Kingdom
| | - Kathryn A Jarvis
- Stroke Research Team, School of Nursing and Midwifery, University of Central Lancashire, Preston, United Kingdom
| | - Rachel C Stockley
- Stroke Research Team, School of Nursing and Midwifery, University of Central Lancashire, Preston, United Kingdom
| |
Collapse
|
4
|
Huebner L, Warmbein A, Scharf C, Schroeder I, Manz K, Rathgeber I, Gutmann M, Biebl J, Mehler-Klamt A, Huber J, Eberl I, Kraft E, Fischer U, Zoller M. Effects of robotic-assisted early mobilization versus conventional mobilization in intensive care unit patients: prospective interventional cohort study with retrospective control group analysis. Crit Care 2024; 28:112. [PMID: 38582934 PMCID: PMC10999075 DOI: 10.1186/s13054-024-04896-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 03/29/2024] [Indexed: 04/08/2024] Open
Abstract
BACKGROUND Approximately one in three survivors of critical illness suffers from intensive-care-unit-acquired weakness, which increases mortality and impairs quality of life. By counteracting immobilization, a known risk factor, active mobilization may mitigate its negative effects on patients. In this single-center trial, the effect of robotic-assisted early mobilization in the intensive care unit (ICU) on patients' outcomes was investigated. METHODS We enrolled 16 adults scheduled for lung transplantation to receive 20 min of robotic-assisted mobilization and verticalization twice daily during their first week in the ICU (intervention group: IG). A control group (CG) of 13 conventionally mobilized patients after lung transplantation was recruited retrospectively. Outcome measures included the duration of mechanical ventilation, length of ICU stay, muscle parameters evaluated by ultrasound, and quality of life after three months. RESULTS During the first week in the ICU, the intervention group received a median of 6 (interquartile range 3-8) robotic-assisted sessions of early mobilization and verticalization. There were no statistically significant differences in the duration of mechanical ventilation (IG: median 126 vs. CG: 78 h), length of ICU stay, muscle parameters evaluated by ultrasound, and quality of life after three months between the IG and CG. CONCLUSION In this study, robotic-assisted mobilization was successfully implemented in the ICU setting. No significant differences in patients' outcomes were observed between conventional and robotic-assisted mobilization. However, randomized and larger studies are necessary to validate the adequacy of robotic mobilization in other cohorts. TRIAL REGISTRATION This single-center interventional trial was registered in clinicaltrials.gov as NCT05071248 on 27/08/2021.
Collapse
Affiliation(s)
- Lucas Huebner
- Department of Anaesthesiology, LMU University Hospital, LMU Munich, Munich, Germany.
| | - Angelika Warmbein
- Clinical Nursing Research and Quality Management Unit, LMU University Hospital, LMU Munich, Munich, Germany
| | - Christina Scharf
- Department of Anaesthesiology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Ines Schroeder
- Department of Anaesthesiology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Kirsi Manz
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Munich, Germany
| | - Ivanka Rathgeber
- Clinical Nursing Research and Quality Management Unit, LMU University Hospital, LMU Munich, Munich, Germany
| | - Marcus Gutmann
- Department of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), LMU University Hospital, LMU Munich, Munich, Germany
| | - Johanna Biebl
- Department of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), LMU University Hospital, LMU Munich, Munich, Germany
| | - Amrei Mehler-Klamt
- Professorship for Nursing Science, Faculty of Social Work, Catholic University of Eichstätt-Ingolstadt, Eichstätt, Germany
| | - Jana Huber
- Professorship for Nursing Science, Faculty of Social Work, Catholic University of Eichstätt-Ingolstadt, Eichstätt, Germany
| | - Inge Eberl
- Professorship for Nursing Science, Faculty of Social Work, Catholic University of Eichstätt-Ingolstadt, Eichstätt, Germany
| | - Eduard Kraft
- Department of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), LMU University Hospital, LMU Munich, Munich, Germany
| | - Uli Fischer
- Clinical Nursing Research and Quality Management Unit, LMU University Hospital, LMU Munich, Munich, Germany
| | - Michael Zoller
- Department of Anaesthesiology, LMU University Hospital, LMU Munich, Munich, Germany
| |
Collapse
|
5
|
Rikhof CJH, Feenstra Y, Fleuren JFM, Buurke JH, Prinsen EC, Rietman JS, Prange-Lasonder GB. Robot-assisted support combined with electrical stimulation for the lower extremity in stroke patients: a systematic review. J Neural Eng 2024; 21:021001. [PMID: 38527367 DOI: 10.1088/1741-2552/ad377c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 03/25/2024] [Indexed: 03/27/2024]
Abstract
Objective. The incidence of stroke rising, leading to an increased demand for rehabilitation services. Literature has consistently shown that early and intensive rehabilitation is beneficial for stroke patients. Robot-assisted devices have been extensively studied in this context, as they have the potential to increase the frequency of therapy sessions and thereby the intensity. Robot-assisted systems can be combined with electrical stimulation (ES) to further enhance muscle activation and patient compliance. The objective of this study was to review the effectiveness of ES combined with all types of robot-assisted technology for lower extremity rehabilitation in stroke patients.Approach. A thorough search of peer-reviewed articles was conducted. The quality of the included studies was assessed using a modified version of the Downs and Black checklist. Relevant information regarding the interventions, devices, study populations, and more was extracted from the selected articles.Main results. A total of 26 articles were included in the review, with 23 of them scoring at least fair on the methodological quality. The analyzed devices could be categorized into two main groups: cycling combined with ES and robots combined with ES. Overall, all the studies demonstrated improvements in body function and structure, as well as activity level, as per the International Classification of Functioning, Disability, and Health model. Half of the studies in this review showed superiority of training with the combination of robot and ES over robot training alone or over conventional treatment.Significance. The combination of robot-assisted technology with ES is gaining increasing interest in stroke rehabilitation. However, the studies identified in this review present challenges in terms of comparability due to variations in outcome measures and intervention protocols. Future research should focus on actively involving and engaging patients in executing movements and strive for standardization in outcome values and intervention protocols.
Collapse
Affiliation(s)
- C J H Rikhof
- Roessingh Research and Development, Roessinghsbleekweg 33b, Enschede 7522AH, The Netherlands
- Biomechanical Engineering, University of Twente, Drienerlolaan 5, Enschede 7522NB, The Netherlands
| | - Y Feenstra
- Roessingh Centre of Rehabilitation, Roessinghsbleekweg 33, Enschede 7522AH, The Netherlands
| | - J F M Fleuren
- Roessingh Research and Development, Roessinghsbleekweg 33b, Enschede 7522AH, The Netherlands
- Roessingh Centre of Rehabilitation, Roessinghsbleekweg 33, Enschede 7522AH, The Netherlands
| | - J H Buurke
- Roessingh Research and Development, Roessinghsbleekweg 33b, Enschede 7522AH, The Netherlands
- Biomedical Signals and systems, University of Twente, Drienerlolaan 5, Enschede 7522NB, The Netherlands
| | - E C Prinsen
- Roessingh Research and Development, Roessinghsbleekweg 33b, Enschede 7522AH, The Netherlands
- Biomechanical Engineering, University of Twente, Drienerlolaan 5, Enschede 7522NB, The Netherlands
| | - J S Rietman
- Roessingh Research and Development, Roessinghsbleekweg 33b, Enschede 7522AH, The Netherlands
- Biomechanical Engineering, University of Twente, Drienerlolaan 5, Enschede 7522NB, The Netherlands
- Roessingh Centre of Rehabilitation, Roessinghsbleekweg 33, Enschede 7522AH, The Netherlands
| | - G B Prange-Lasonder
- Roessingh Research and Development, Roessinghsbleekweg 33b, Enschede 7522AH, The Netherlands
- Biomechanical Engineering, University of Twente, Drienerlolaan 5, Enschede 7522NB, The Netherlands
| |
Collapse
|
6
|
Fay A, Synott E, McDaid E, Barrett E. A comparison of the immediate effects of the Andago over ground body weight support trainer versus over ground walking on selected gait parameters in a post-acute rehabilitation population. Physiother Theory Pract 2024; 40:767-777. [PMID: 36593733 DOI: 10.1080/09593985.2022.2162834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 12/20/2022] [Accepted: 12/20/2022] [Indexed: 01/04/2023]
Abstract
BACKGROUND The Andago is an electromechanical gait trainer providing dynamic body weight support while simultaneously enabling over ground walking. The aim of this study was to compare the effects of the Andago with over ground walking on selected gait parameters, during a single gait reeducation session in a post-acute rehabilitation population. METHODS Twenty-seven participants (mean age 78 yrs. (SD = 9.2), female 55.6% (n = 15)) undergoing rehabilitation for neurological (51.8%, n = 14), orthopedic (33.3%, n = 9), and medical conditions (14.8%, n = 4) completed the study. This was a single group, cross sectional, repeated measures study. Participants completed a 10-meter walk test (10MWT) and a 20-minute gait reeducation session under two conditions: i) harnessed in the Andago with body weight support or ii) using their normal walking pattern. Walking speed, steps taken, distance walked, rest breaks, Borg ratings of perceived exertion, and fear of falling were compared over both conditions. RESULTS Walking speed was significantly slower with the Andago (10MWT mean difference 0.12 (95% CI 0.03-0.20), eta squared 0.24, p = .008; 20-min gait mean difference 0.04 (95% CI 0.00-0.09), eta squared 0.15, p = .049). During the 20-minute gait reeducation session, step count, distance walked, and duration of walking was similar over both conditions, however participants recorded less rest breaks and fear of falling at minutes 10 and 20 in favor of the Andago. CONCLUSION Gait parameters measured during a single gait reeducation session in the Andago, in a mixed cohort of predominately older rehabilitation patients, appear comparable to conventional over ground training, other than walking speed which was reduced.
Collapse
Affiliation(s)
- Amy Fay
- Discipline of Physiotherapy, School of Medicine, Trinity College Dublin, University of Dublin, College Green, Dublin, Ireland
| | - Eoin Synott
- Physiotherapy Department, Royal Hospital Donnybrook, Morehampton Road, Dublin, Ireland
| | - Edel McDaid
- Physiotherapy Department, Royal Hospital Donnybrook, Morehampton Road, Dublin, Ireland
| | - Emer Barrett
- Discipline of Physiotherapy, School of Medicine, Trinity College Dublin, University of Dublin, College Green, Dublin, Ireland
| |
Collapse
|
7
|
Scheermesser M, Baumgartner D, Nast I, Bansi J, Kool J, Bischof P, Bauer CM. Therapists and patients perceptions of a mixed reality system designed to improve trunk control and upper extremity function. Sci Rep 2024; 14:6598. [PMID: 38503795 PMCID: PMC10951291 DOI: 10.1038/s41598-024-55692-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 02/27/2024] [Indexed: 03/21/2024] Open
Abstract
A prototype system aimed at improving arm function and trunk control after stroke has been developed that combines mixed-reality (MR) feedback with a mobile seat system (Holoreach). The purpose of this study was to assess the usability of Holoreach in a rehabilitation setting from both the patient and therapist perspective. Ten therapists (eight physiotherapists and two occupational therapists) used the device in their regular therapy programs for fifteen stroke patients with trunk control issues. Each patient received four individual therapy sessions with the device performed under the supervision of the therapist. Therapists and patients kept therapy diaries and used customized questionnaires. At the end of the study two focus groups were conducted to further assess usability. Generally, the prototype system is suitable for training trunk and arm control. The therapists expressed overall positive views on the impact of Holoreach. They characterized it as new, motivating, fresh, joyful, interesting, and exciting. All therapists and 80% of the patients agreed with the statement that training with Holoreach is beneficial for rehabilitation. Nonetheless, improvements are required in the hardware and software, and design. The prototype system contributes at various levels to the rapidly evolving advances in neurorehabilitation, particularly regarding the practical aspect of exercise delivery.
Collapse
Affiliation(s)
- M Scheermesser
- School of Health Sciences, Institute of Physiotherapy, Zurich University of Applied Sciences, Katharina-Sulzer-Platz 9, 8401, Winterthur, Switzerland.
| | - D Baumgartner
- School of Engineering, Institute of Mechanical Systems IMES, Zurich University of Applied Sciences, Technikumstrasse 71, 8400, Winterthur, Switzerland
| | - I Nast
- School of Health Sciences, Institute of Physiotherapy, Zurich University of Applied Sciences, Katharina-Sulzer-Platz 9, 8401, Winterthur, Switzerland
| | - J Bansi
- Kliniken-Valens, Research and Development, Rehabilitation Centre Valens, Taminaplatz 1, 7317, Valens, Switzerland
- Department of Health, Physiotherapy, OST-University of Applied Sciences Eastern Switzerland, Rosenbergstrasse 59, 9001, St. Gallen, Switzerland
| | - J Kool
- Kliniken-Valens, Research and Development, Rehabilitation Centre Valens, Taminaplatz 1, 7317, Valens, Switzerland
| | - P Bischof
- School of Engineering, Institute of Mechanical Systems IMES, Zurich University of Applied Sciences, Technikumstrasse 71, 8400, Winterthur, Switzerland
| | - C M Bauer
- School of Health Sciences, Institute of Physiotherapy, Zurich University of Applied Sciences, Katharina-Sulzer-Platz 9, 8401, Winterthur, Switzerland.
- Lake Lucerne Institute, Seestrasse 18, 6354, Vitznau, Switzerland.
- Faculty of Sport and Health Science, University of Jyväskylä, PO Box 35, 40014, Jyvaskyla, Finland.
| |
Collapse
|
8
|
Sekiguchi Y, Owaki D, Honda K, Izumi SI, Ebihara S. Differences in kinetic factors affecting gait speed between lesion sides in patients with stroke. Front Bioeng Biotechnol 2024; 12:1240339. [PMID: 38567085 PMCID: PMC10985198 DOI: 10.3389/fbioe.2024.1240339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 03/06/2024] [Indexed: 04/04/2024] Open
Abstract
The differences in kinetic mechanisms of decreased gait speed across brain lesion sides have not been elucidated, including the arrangement of motor modules reflected by kinetic interjoint coordination. The purpose of this study was to elucidate the differences in the kinetic factors of slow gait speed in patients with stroke on the lesion sides. A three-dimensional motion analysis system was employed to assess joint moment in the lower limb and representative gait parameters in 32 patients with right hemisphere brain damage (RHD) and 38 patients with left hemisphere brain damage (LHD) following stroke as well as 20 healthy controls. Motor module composition and timing were determined using principal component analysis based on the three joint moments in the lower limb in the stance phase, which were the variances accounted for principal components (PCs) and the peak timing in the time series of PCs. A stepwise multiple linear regression analysis was performed to identify the most significant joint moment and PC-associated parameter in explaining gait speed. A negligible difference was observed in age, weight, height, and gait speed among patients with RHD and LHD and controls. The following factors contributed to gait speed: in patients with RHD, larger ankle plantarflexion moment on the paretic (p = 0.001) and nonparetic (p = 0.002) sides and ankle dorsiflexion moment on the nonparetic side (p = 0.004); in patients with LHD, larger ankle plantarflexion moment (p < 0.001) and delayed peak timing of the first PC (p = 0.012) on the paretic side as well as ankle dorsiflexion moment on the nonparetic side (p < 0.001); in the controls, delayed peak timing of the first PC (p = 0.002) on the right side and larger ankle dorsiflexion moment (p = 0.001) as well as larger hip flexion moment on the left side (p = 0.023). The findings suggest that the kinetic mechanisms of gait speed may differ among patients with RHD following patients with stroke with LHD, and controls.
Collapse
Affiliation(s)
- Yusuke Sekiguchi
- Department of Physical Medicine and Rehabilitation, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Dai Owaki
- Department of Robotics, Graduate School of Engineering, Tohoku University, Sendai, Japan
| | - Keita Honda
- Department of Physical Medicine and Rehabilitation, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Shin-Ichi Izumi
- Department of Physical Medicine and Rehabilitation, Graduate School of Medicine, Tohoku University, Sendai, Japan
- Department of Physical Medicine and Rehabilitation, Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan
| | - Satoru Ebihara
- Department of Internal Medicine & Rehabilitation Science, Disability Sciences, Tohoku University Graduate School of Medicine, Sendai, Japan
| |
Collapse
|
9
|
Kim E, Lee G, Lee J, Kim YH. Simultaneous high-definition transcranial direct current stimulation and robot-assisted gait training in stroke patients. Sci Rep 2024; 14:4483. [PMID: 38396060 PMCID: PMC10891044 DOI: 10.1038/s41598-024-53482-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 01/31/2024] [Indexed: 02/25/2024] Open
Abstract
This study investigates whether simultaneous high-definition transcranial direct current stimulation (HD-tDCS) enhances the effects of robot-assisted gait training in stroke patients. Twenty-four participants were randomly allocated to either the robot-assisted gait training with real HD-tDCS group (real HD-tDCS group) or robot-assisted gait training with sham HD-tDCS group (sham HD-tDCS group). Over four weeks, both groups completed 10 sessions. The 10 Meter Walk Test, Timed Up and Go, Functional Ambulation Category, Functional Reach Test, Berg Balance Scale, Dynamic Gait Index, Fugl-Meyer Assessment, and Korean version of the Modified Barthel Index were conducted before, immediately after, and one month after the intervention. The real HD-tDCS group showed significant improvements in the 10 Meter Walk Test, Timed Up and Go, Functional Reach Test, and Berg Balance Scale immediately and one month after the intervention, compared with before the intervention. Significant improvements in the Dynamic Gait Index and Fugl-Meyer Assessment were also observed immediately after the intervention. The sham HD-tDCS group showed no significant improvements in any of the tests. Application of HD-tDCS during robot-assisted gait training has a positive effect on gait and physical function in chronic stroke patients, ensuring long-term training effects. Our results suggest the effectiveness of HD-tDCS as a complementary tool to enhance robotic gait rehabilitation therapy in chronic stroke patients.
Collapse
Affiliation(s)
- Eunmi Kim
- Department of Physical and Rehabilitation Medicine, Sungkyunkwan University School of Medicine, Suwon, 16419, Republic of Korea
| | - Gihyoun Lee
- Interdisciplinary Program of Biomedical Engineering, Chonnam National University, Yeosu, 59626, Republic of Korea
- School of Healthcare and Biomedical Engineering, Chonnam National University, Yeosu, 59626, Republic of Korea
| | - Jungsoo Lee
- Department of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, 39253, Republic of Korea.
| | - Yun-Hee Kim
- Department of Physical and Rehabilitation Medicine, Sungkyunkwan University School of Medicine, Suwon, 16419, Republic of Korea.
- Haeundae Sharing and Happiness Hospital, Busan, 48101, Republic of Korea.
| |
Collapse
|
10
|
Jourdan C, Pradalier F, Chalard K, Ascher M, Miron Duran F, Pavillard F, Greco F, Mellouk M, Fournier S, Djanikian F, Laffont I, Gelis A, Perrigault PF. Body-weight support gait training in neurological intensive care: safety, feasibility, and delays before walking with or without suspension. J Neuroeng Rehabil 2023; 20:167. [PMID: 38093374 PMCID: PMC10720049 DOI: 10.1186/s12984-023-01291-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 12/05/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Early Mobilization in Intensive Care Units (ICUs) enhances patients' evolution, but has been rarely studied in neurological ICUs. The aim of this study was to assess gait training with body-weight support (BWS) in neuroICU, and to report on its safety, feasibility and on delays before walking with and without BWS. METHODS This study was an observational one-year single-center study. Inclusion criteria were adults with a neurological injury requiring mechanical ventilation. Exclusion criteria were early death or ICU transfer. After weaning from ventilation, patients were screened for indications of BWS walking using predefined criteria. RESULTS Patients' conditions were mostly brain injuries: 32% subarachnoid hemorrhages, 42% focal strokes, and 12% traumatic brain injuries. Out of 272 admissions, 136 patients were excluded, 78 were eligible, and 33 performed BWS walking. Among non-eligible patients, 36 walked unsuspended upon ventilation weaning, 17 presented too severe impairments. Among the 45 eligible patients who did not receive BWS training, main reasons were workload and weekends (31%), medical barriers (29%), and early ICU discharge (22%). 78 BWS sessions were performed on the 33 beneficiaries (median sessions per patient 2, max 10). Pre-session, most patients had inadequate response to pain, orders, or simple orientation questions. Sitting without support was impossible for 74%. Most pre-post changes in hemodynamic, respiratory, and pain parameters were small, and recovered spontaneously after the session. Eight sessions were interrupted; reasons were pain, fatigue or major imbalance (4), syncope (1), occurrence of stool (2), and battery failure (1). None of these adverse events required medical intervention, patients recovered upon session interruption. Median session duration was 31 min, patients walked on median 17 m. First BWS session occurred on median 3 days after ventilation weaning, and 11 days before patients were able to walk unsuspended. CONCLUSIONS Verticalization and walking using a suspension device in patients in neuroICU allows early gait training, despite challenging neurological impairments. It is safe and generally well tolerated. TRIAL REGISTRATION ClinicalTrials database (ID: NCT04300491).
Collapse
Affiliation(s)
- Claire Jourdan
- Département de Médecine Physique et de Réadaptation, CHU de Montpellier, Hôpital Lapeyronie, Site Lapeyronie, 371 Avenue du Doyen Gaston Giraud, 34295, Montpellier cedex 5, France.
| | - Fanny Pradalier
- Département de Médecine Physique et de Réadaptation, CHU de Montpellier, Hôpital Lapeyronie, Site Lapeyronie, 371 Avenue du Doyen Gaston Giraud, 34295, Montpellier cedex 5, France
| | - Kevin Chalard
- Département d'anesthésie-Réanimation Gui de Chauliac, CHU de Montpellier, Montpellier, France
| | - Margrit Ascher
- Département d'anesthésie-Réanimation Gui de Chauliac, CHU de Montpellier, Montpellier, France
| | - Francisco Miron Duran
- Département d'anesthésie-Réanimation Gui de Chauliac, CHU de Montpellier, Montpellier, France
| | - Frédérique Pavillard
- Département d'anesthésie-Réanimation Gui de Chauliac, CHU de Montpellier, Montpellier, France
| | - Frédéric Greco
- Département d'anesthésie-Réanimation Gui de Chauliac, CHU de Montpellier, Montpellier, France
| | - Myriam Mellouk
- Département d'anesthésie-Réanimation Gui de Chauliac, CHU de Montpellier, Montpellier, France
| | - Stéphane Fournier
- Département d'anesthésie-Réanimation Gui de Chauliac, CHU de Montpellier, Montpellier, France
| | - Flora Djanikian
- Département d'anesthésie-Réanimation Gui de Chauliac, CHU de Montpellier, Montpellier, France
| | - Isabelle Laffont
- Département de Médecine Physique et de Réadaptation, CHU de Montpellier, Hôpital Lapeyronie, Site Lapeyronie, 371 Avenue du Doyen Gaston Giraud, 34295, Montpellier cedex 5, France
- Euromov Digital Health in Motion, Université de Montpellier, Montpellier, France
| | - Anthony Gelis
- Département de Médecine Physique et de Réadaptation, CHU de Montpellier, Hôpital Lapeyronie, Site Lapeyronie, 371 Avenue du Doyen Gaston Giraud, 34295, Montpellier cedex 5, France
| | | |
Collapse
|
11
|
Lima JPS, Silva LA, Delisle-Rodriguez D, Cardoso VF, Nakamura-Palacios EM, Bastos-Filho TF. Unraveling Transformative Effects after tDCS and BCI Intervention in Chronic Post-Stroke Patient Rehabilitation-An Alternative Treatment Design Study. SENSORS (BASEL, SWITZERLAND) 2023; 23:9302. [PMID: 38067674 PMCID: PMC10708803 DOI: 10.3390/s23239302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 11/10/2023] [Accepted: 11/16/2023] [Indexed: 12/18/2023]
Abstract
Stroke is a debilitating clinical condition resulting from a brain infarction or hemorrhage that poses significant challenges for motor function restoration. Previous studies have shown the potential of applying transcranial direct current stimulation (tDCS) to improve neuroplasticity in patients with neurological diseases or disorders. By modulating the cortical excitability, tDCS can enhance the effects of conventional therapies. While upper-limb recovery has been extensively studied, research on lower limbs is still limited, despite their important role in locomotion, independence, and good quality of life. As the life and social costs due to neuromuscular disability are significant, the relatively low cost, safety, and portability of tDCS devices, combined with low-cost robotic systems, can optimize therapy and reduce rehabilitation costs, increasing access to cutting-edge technologies for neuromuscular rehabilitation. This study explores a novel approach by utilizing the following processes in sequence: tDCS, a motor imagery (MI)-based brain-computer interface (BCI) with virtual reality (VR), and a motorized pedal end-effector. These are applied to enhance the brain plasticity and accelerate the motor recovery of post-stroke patients. The results are particularly relevant for post-stroke patients with severe lower-limb impairments, as the system proposed here provides motor training in a real-time closed-loop design, promoting cortical excitability around the foot area (Cz) while the patient directly commands with his/her brain signals the motorized pedal. This strategy has the potential to significantly improve rehabilitation outcomes. The study design follows an alternating treatment design (ATD), which involves a double-blind approach to measure improvements in both physical function and brain activity in post-stroke patients. The results indicate positive trends in the motor function, coordination, and speed of the affected limb, as well as sensory improvements. The analysis of event-related desynchronization (ERD) from EEG signals reveals significant modulations in Mu, low beta, and high beta rhythms. Although this study does not provide conclusive evidence for the superiority of adjuvant mental practice training over conventional therapy alone, it highlights the need for larger-scale investigations.
Collapse
Affiliation(s)
- Jéssica P. S. Lima
- Postgraduate Program in Biotechnology, Federal University of Espirito Santo (UFES), Vitoria 29047-105, Brazil; (J.P.S.L.); (V.F.C.); (T.F.B.-F.)
| | - Leticia A. Silva
- Postgraduate Program in Electrical Engineering, Federal University of Espirito Santo (UFES), Vitoria 29075-910, Brazil;
| | - Denis Delisle-Rodriguez
- Postgraduate Program in Neuroengineering, Edmond and Lily Safra International Institute of Neurosciences, Macaiba 59288-899, Brazil
| | - Vivianne F. Cardoso
- Postgraduate Program in Biotechnology, Federal University of Espirito Santo (UFES), Vitoria 29047-105, Brazil; (J.P.S.L.); (V.F.C.); (T.F.B.-F.)
| | - Ester M. Nakamura-Palacios
- Laboratory of Cognitive Sciences and Neuropsychopharmacology, Federal University of Espírito Santo, Vitoria 29040-090, Brazil;
| | - Teodiano F. Bastos-Filho
- Postgraduate Program in Biotechnology, Federal University of Espirito Santo (UFES), Vitoria 29047-105, Brazil; (J.P.S.L.); (V.F.C.); (T.F.B.-F.)
- Postgraduate Program in Electrical Engineering, Federal University of Espirito Santo (UFES), Vitoria 29075-910, Brazil;
| |
Collapse
|
12
|
Yoo SD, Lee HH. The Effect of Robot-Assisted Training on Arm Function, Walking, Balance, and Activities of Daily Living After Stroke: A Systematic Review and Meta-Analysis. BRAIN & NEUROREHABILITATION 2023; 16:e24. [PMID: 38047093 PMCID: PMC10689857 DOI: 10.12786/bn.2023.16.e24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 08/23/2023] [Accepted: 08/31/2023] [Indexed: 12/05/2023] Open
Abstract
This meta-analysis aimed to compare the effects of robot-assisted training (RAT) with those of conventional therapy (CT), considering the potential sources of heterogeneity in the previous studies. We searched three international electronic databases (MEDLINE, Embase, and the Cochrane Library) to identify relevant studies. Risk of bias assessment was performed using the Cochrane's Risk of Bias 1.0 tool. The certainty of the evidence was evaluated using the Grading of Recommendations, Assessment, Development, and Evaluations method. The meta-analyses for each outcome of the respective domains were performed using 24 randomized controlled trials (RCTs) on robot-assisted arm training (RAAT) for arm function, 7 RCTs on RAAT for activities of daily living (ADL), 12 RCTs on robot-assisted gait training (RAGT) for balance, 6 RCTs on RAGT for walking, and 7 RCTs on RAGT for ADL. The random-effects model for the meta-analysis revealed that RAAT has significant superiority over CT in improving arm function, and ADL. We also showed that RAGT has significant superiority over CT in improving balance. Our study provides high-level evidence for the superiority of RAT over CT in terms of functional recovery after stroke. Therefore, physicians should consider RAT as a therapeutic option for facilitating functional recovery after stroke.
Collapse
Affiliation(s)
- Seung Don Yoo
- Department of Rehabilitation Medicine, Kyung Hee University College of Medicine, Seoul, Korea
| | - Hyun Haeng Lee
- Department of Rehabilitation Medicine, Konkuk University College of Medicine, Seoul, Korea
| |
Collapse
|
13
|
Maggioni S, Lünenburger L, Riener R, Curt A, Bolliger M, Melendez-Calderon A. Assessing walking ability using a robotic gait trainer: opportunities and limitations of assist-as-needed control in spinal cord injury. J Neuroeng Rehabil 2023; 20:121. [PMID: 37735690 PMCID: PMC10515081 DOI: 10.1186/s12984-023-01226-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 07/27/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND Walking impairments are a common consequence of neurological disorders and are assessed with clinical scores that suffer from several limitations. Robot-assisted locomotor training is becoming an established clinical practice. Besides training, these devices could be used for assessing walking ability in a controlled environment. Here, we propose an adaptive assist-as-needed (AAN) control for a treadmill-based robotic exoskeleton, the Lokomat, that reduces the support of the device (body weight support and impedance of the robotic joints) based on the ability of the patient to follow a gait pattern displayed on screen. We hypothesize that the converged values of robotic support provide valid and reliable information about individuals' walking ability. METHODS Fifteen participants with spinal cord injury and twelve controls used the AAN software in the Lokomat twice within a week and were assessed using clinical scores (10MWT, TUG). We used a regression method to identify the robotic measure that could provide the most relevant information about walking ability and determined the test-retest reliability. We also checked whether this result could be extrapolated to non-ambulatory and to unimpaired subjects. RESULTS The AAN controller could be used in patients with different injury severity levels. A linear model based on one variable (robotic knee stiffness at terminal swing) could explain 74% of the variance in the 10MWT and 61% in the TUG in ambulatory patients and showed good relative reliability but poor absolute reliability. Adding the variable 'maximum hip flexor torque' to the model increased the explained variance above 85%. This did not extend to non-ambulatory nor to able-bodied individuals, where variables related to stance phase and to push-off phase seem more relevant. CONCLUSIONS The novel AAN software for the Lokomat can be used to quantify the support required by a patient while performing robotic gait training. The adaptive software might enable more challenging training conditions tuned to the ability of the individuals. While the current implementation is not ready for assessment in clinical practice, we could demonstrate that this approach is safe, and it could be integrated as assist-as-needed training, rather than as assessment. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02425332.
Collapse
Affiliation(s)
| | | | - Robert Riener
- Sensory-Motor Systems (SMS) Lab, ETH Zurich, Zurich, Switzerland
- Spinal Cord Injury Center, Balgrist University Hospital, Zurich, Switzerland
| | - Armin Curt
- Spinal Cord Injury Center, Balgrist University Hospital, Zurich, Switzerland
| | - Marc Bolliger
- Spinal Cord Injury Center, Balgrist University Hospital, Zurich, Switzerland
| | - Alejandro Melendez-Calderon
- School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia.
- School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia.
- Jamieson Trauma Institute, Metro North Health, Brisbane, Australia.
| |
Collapse
|
14
|
Klobucká S, Klobucký R, Valovičová K, Šiarnik P, Kollár B. Cost-effectiveness analysis of robot-assisted gait training in patients with bilateral spastic cerebral palsy. COST EFFECTIVENESS AND RESOURCE ALLOCATION 2023; 21:60. [PMID: 37697377 PMCID: PMC10496243 DOI: 10.1186/s12962-023-00475-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 09/04/2023] [Indexed: 09/13/2023] Open
Abstract
BACKGROUND To date, there have been no published studies evaluating the cost-effectiveness of robot-assisted gait training (RAGT) in adolescent and adult patients with cerebral palsy (CP). The study´s aim was to analyse the cost-effectiveness of RAGT versus conventional kinesiotherapy (CON) from the health care provider's perspective. METHODS We expressed the cost-effectiveness of RAGT in the Lokomat® system after analysing the costs and effects of RAGT and conventional therapy through the Incremental Cost-Effectiveness Ratio (ICER) based on a bicentric randomized controlled study, in which we demonstrated that the intensive RAGT regimen is more effective than conventional therapy in terms of improvements in gross motor functions in adolescent and adult patients with bilateral spastic CP. RESULTS According to the calculated ICER ratio for Lokomat®, an additional improvement per unit of effect (1% in GMFM), compared to conventional therapy, results in an average cost increase of EUR70.38 per patient in a therapeutic block consisting of 20 TUs (Therapeutic Units). CONCLUSION However, from the comprehensive analysis of the results and evaluation of the long-term effects, it follows that RAGT applied in adolescent and adult patients with bilateral spastic CP is not only more effective in terms of evaluation of monitored clinical parameters, but in the long term it is also more cost-effective compared to conventional therapy.
Collapse
Affiliation(s)
- Stanislava Klobucká
- Rehabilitation Centre Harmony, Bratislava, Slovakia.
- Faculty of Medicine, Slovak Medical University, Bratislava, Slovakia.
| | - Robert Klobucký
- Institute for Sociology, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Katarína Valovičová
- 1st Department of Neurology, Faculty of Medicine, Comenius University Bratislava, Bratislava, Slovakia
| | - Pavol Šiarnik
- 1st Department of Neurology, Faculty of Medicine, Comenius University Bratislava, Bratislava, Slovakia
| | - Branislav Kollár
- 1st Department of Neurology, Faculty of Medicine, Comenius University Bratislava, Bratislava, Slovakia
| |
Collapse
|
15
|
van Dellen F, Vazquez CG, Labruyere R. 1D-Convolutional Neural Networks can Quantify Therapy Content of Children and Adolescents Walking in a Robot-Assisted Gait Trainer. IEEE Int Conf Rehabil Robot 2023; 2023:1-6. [PMID: 37941229 DOI: 10.1109/icorr58425.2023.10304726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2023]
Abstract
Therapy content, consisting of device parameter settings and therapy instructions, is crucial for an effective robot-assisted gait therapy program. Settings and instructions depend on the therapy goals of the individual patient. While device parameters can be recorded by the robot, therapeutic instructions and associated patient responses are currently difficult to capture. This limits the transferability of successful therapeutic approaches between clinics. Here, we propose that 1D-convolutional neural networks can be used to relate patient behavior during individual steps to the instructions given as a surrogate for the patient's intent. Our model takes the surface electromyography patterns of two leg muscles as input and predicts the given instruction as output. We tested this approach with data from 20 healthy children walking in a robot-assisted gait trainer with 5 different instructions. Our model performs well, with a classification accuracy of almost 90%, when the instruction targets specific aspects of gait, such as step length. This shows that 1D-convolutional neural networks are a viable tool for quantifying therapy content. Thus, they could help compare therapy approaches and identify effective strategies.
Collapse
|
16
|
Shirota C, Mitchell J, Clanchy K. End-User Perspectives of the Importance of Rehabilitation Technologies and Related Values for Implementation. IEEE Int Conf Rehabil Robot 2023; 2023:1-4. [PMID: 37941202 DOI: 10.1109/icorr58425.2023.10304808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2023]
Abstract
Despite the increased availability of rehabilitation technologies (such as robotics) and evidence to support their use, their adoption is still limited in practice. To begin to address this issue, we sought to better understand the perspectives of end-users regarding the implementation of rehabilitation technologies through an online survey. Fifty unique responses across Client (e.g., people with disability and carers), Allied Health (e.g., occupational and physical therapists, podiatrists, psychologists, dieticians, audiologists, exercise physiologists), and Medical (i.e., physicians and nurses) groups were analyzed. Respondents considered rehabilitation technologies to be important (median across groups of 9 out of 10). Across groups, value statements related to the implementation of rehabilitation technologies ranked from most to least important related to: benefits of technology to its intended end-user with disability, practical use of technologies, the technologies themselves (e.g., innovative, established, stand-alone), and their impact on health professionals or the health system as a whole. There were similarities and differences in ranking within and across end-user groups. The prioritization of statements indicates where development efforts can be focused to address end-user goals, and disparity in results across groups supports rich stakeholder engagement during rehabilitation technology development.
Collapse
|
17
|
Kamimoto T, Hosoi Y, Tanamachi K, Yamamoto R, Yamada Y, Teramae T, Noda T, Kaneko F, Tsuji T, Kawakami M. Combined Ankle Robot Training and Robot-assisted Gait Training Improved the Gait Pattern of a Patient with Chronic Traumatic Brain Injury. Prog Rehabil Med 2023; 8:20230024. [PMID: 37593197 PMCID: PMC10427343 DOI: 10.2490/prm.20230024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 06/28/2023] [Indexed: 08/19/2023] Open
Abstract
Background : Walking disability caused by central nervous system injury often lingers. In the chronic phase, there is great need to improve walking speed and gait, even for patients who walk independently. Robot-assisted gait training (RAGT) has been widely used, but few studies have focused on improving gait patterns, and its effectiveness for motor function has been limited. This report describes the combination of "RAGT to learn the gait pattern" and "ankle robot training to improve motor function" in a patient with chronic stage brain injury. Case : A 34-year-old woman suffered a traumatic brain injury 5 years ago. She had residual right hemiplegia [Fugl-Meyer Assessment-Lower Extremity (FMA-LE): 18 points] and mild sensory impairment, but she walked independently with a short leg brace and a cane. Her comfortable gait speed was 0.57 m/s without an orthosis, and her 6-m walk test distance was 240 m. The Gait Assessment and Intervention Tool (G.A.I.T.) score was 35 points. After hospitalization, ankle robot training was performed daily, with RAGT performed 10 times in total. Post-intervention evaluation performed on Day 28 showed: FMA-LE, 23 points; comfortable walking speed, 0.69 m/s; G.A.I.T., 27 points; and three-dimensional motion analysis showed ankle dorsiflexion improved from 3.22° to 12.59° and knee flexion improved from 1.75° to 16.54° in the swing phase. Discussion : This is one of few studies to have examined the combination of two robots. Combining the features of each robot improved the gait pattern and motor function, even in the chronic phase.
Collapse
Affiliation(s)
- Takayuki Kamimoto
- Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Yuichiro Hosoi
- Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Kenya Tanamachi
- Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan
- Department of Physical Therapy, Graduate School of Health Sciences, Tokyo Metropolitan University, Tokyo, Japan
| | - Rieko Yamamoto
- Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, Japan
| | - Yuka Yamada
- Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Tatsuya Teramae
- Department of Brain Robot Interface, Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International, Kyoto, Japan
| | - Tomoyuki Noda
- Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan
- Department of Brain Robot Interface, Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International, Kyoto, Japan
| | - Fuminari Kaneko
- Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan
- Department of Physical Therapy, Graduate School of Health Sciences, Tokyo Metropolitan University, Tokyo, Japan
| | - Tetsuya Tsuji
- Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Michiyuki Kawakami
- Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan
| |
Collapse
|
18
|
Chang WH, Kim TW, Kim HS, Hanapiah FA, Kim DH, Kim DY. Exoskeletal wearable robot on ambulatory function in patients with stroke: a protocol for an international, multicentre, randomised controlled study. BMJ Open 2023; 13:e065298. [PMID: 37567748 PMCID: PMC10423773 DOI: 10.1136/bmjopen-2022-065298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 07/26/2023] [Indexed: 08/13/2023] Open
Abstract
INTRODUCTION The purpose of this study is to determine the effect of overground gait training using an exoskeletal wearable robot (exoskeleton) on the recovery of ambulatory function in patients with subacute stroke. We also investigate the assistive effects of an exoskeleton on ambulatory function in patients with subacute stroke. METHODS AND ANALYSIS This study is an international, multicentre, randomised controlled study at five institutions with a total of 150 patients with subacute stroke. Participants will be randomised into two groups (75 patients in the robot-assisted gait training (RAGT) group and 75 patients in the control group). The gait training will be performed with a total of 20 sessions (60 min/session); 5 sessions a week for 4 weeks. The RAGT group will receive 30 min of gait training using an exoskeleton (ANGEL LEGS M20, Angel Robotics) and 30 min of conventional gait training, while the control group will receive 60 min conventional gait training. In all the patients, the functional assessments such as ambulation, motor and balance will be evaluated before and after the intervention. Follow-up monitoring will be performed to verify whether the patient can walk without physical assistance for 3 months. The primary outcome is the improvement of the Functional Ambulatory Category after the gait training. The functional assessments will also be evaluated immediately after the last training session in the RAGT group to assess the assistive effects of an exoskeletal wearable robot. This trial will provide evidence on the effects of an exoskeleton to improve and assist ambulatory function in patients with subacute stroke. ETHICS AND DISSEMINATION This protocol has been approved by the Institutional Review Board of each hospital and conforms to the Declaration of Helsinki. The results will be disseminated through publication. TRIAL REGISTRATION NUMBER Protocol was registered at ClinicalTrials.gov (NCT05157347) on 15 December 2021 and CRIS (KCT0006815) on 19 November 2021.
Collapse
Affiliation(s)
- Won Hyuk Chang
- Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular and Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (the Republic of)
| | - Tae-Woo Kim
- National Traffic Injury Rehabilitation Hospital, Gyeonggi-do, Korea (the Republic of)
| | - Hyoung Seop Kim
- Department of Physical Medicine and Rehabilitation, National Health Insurance Service Ilsan Hospital, Goyang, Korea (the Republic of)
| | | | - Dae Hyun Kim
- Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular and Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (the Republic of)
| | - Deog Young Kim
- Department and Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul, Korea (the Republic of)
| |
Collapse
|
19
|
Gupta A, Prakash NB, Sannyasi G, Mohamad F, Honavar P, Jotheeswaran S, Khanna M, Ramakrishnan S. Effect of overground gait training with 'Mobility Assisted Robotic System-MARS' on gait parameters in patients with stroke: a pre-post study. BMC Neurol 2023; 23:296. [PMID: 37558991 PMCID: PMC10410908 DOI: 10.1186/s12883-023-03357-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 08/03/2023] [Indexed: 08/11/2023] Open
Abstract
OBJECTIVE To observe the effect of overground gait training with 'Mobility Assisted Robotic System-MARS' on gait parameters in patients with stroke. PATIENTS & METHODS This prospective pre-post study was conducted in a tertiary teaching research hospital with 29 adult stroke patients, with age up to 65 years. Patients fulfilling the inclusion criteria were divided in 2 groups based on the duration of stroke (≤ 6 months-sub-acute & > 6 months-chronic stroke) and provided overground gait training with MARS robot for 12 sessions (1 h/session) over a period of 2-3 weeks. Primary outcome measures were; 10-Meter walk test-10MWT, 6-min' walk test-6MWT and Timed up & Go-TUG tests. Secondary outcome measures were Functional Ambulation Category-FAC, Modified Rankin Scale-MRS and Scandinavian Stroke Scale-SSS. RESULTS No adverse events were reported. Twenty-five patients who were able to perform 10-MWT at the beginning of study were included in the final analysis with 12 in sub-acute and 13 in chronic stroke group. All primary and secondary outcome measures showed significant improvement in gait parameters at the end of the training (p < 0.05) barring 10-Meter walk test in sub-acute stroke group (p = 0.255). Chronic stroke group showed significant minimum clinically important difference-MCID difference in endurance (6MWT) at the end of the training and both groups showed better 'minimal detectable change-MDC' in balance (TUG) at the end of the training. CONCLUSIONS Patients in both the groups showed significant improvement in walking speed, endurance, balance and independence at the end of the training with overground gait training with MARS Robot. CLINICAL TRIAL REGISTRY National Clinical Trial Registry of India (CTRI/2021/08/035695,16/08/2021).
Collapse
Affiliation(s)
- Anupam Gupta
- Department of Neurological Rehabilitation, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bangalore, 560029 India
| | - Navin B. Prakash
- Department of Neurological Rehabilitation, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bangalore, 560029 India
| | - Gourav Sannyasi
- Department of Neurological Rehabilitation, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bangalore, 560029 India
| | - Faiz Mohamad
- Department of Neurological Rehabilitation, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bangalore, 560029 India
| | - Preethi Honavar
- Department of Neurological Rehabilitation, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bangalore, 560029 India
| | - S. Jotheeswaran
- Department of Neurological Rehabilitation, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bangalore, 560029 India
| | - Meeka Khanna
- Department of Neurological Rehabilitation, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bangalore, 560029 India
| | - Subasree Ramakrishnan
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
| |
Collapse
|
20
|
Villa MC, Geminiani GC, Zettin M, Cicerale A, Ronga I, Duca S, Sacco K. Re-learning mental representation of walking after a brain lesion. Effects of a cognitive-motor training with a robotic orthosis. Front Neurorobot 2023; 17:1177201. [PMID: 37583648 PMCID: PMC10425221 DOI: 10.3389/fnbot.2023.1177201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 07/17/2023] [Indexed: 08/17/2023] Open
Abstract
Introduction Stroke-related deficits often include motor impairments and gait dysfunction, leading to a limitation of social activities and consequently affecting the quality of life of stroke survivors. Neurorehabilitation takes advantage of the contribution of different techniques in order to achieve more benefits for patients. Robotic devices help to improve the outcomes of physical rehabilitation. Moreover, motor imagery seems to play a role in neurological rehabilitation since it leads to the activation of the same brain areas as actual movements. This study investigates the use of a combined physical and cognitive protocol for gait rehabilitation in stroke patients. Methods Specifically, we tested the efficacy of a 5-week training program using a robotic orthosis (P.I.G.R.O.) in conjunction with motor imagery training. Twelve chronic stroke patients participated in the study. We evaluated balance and gait performance before and after the training. Six of them underwent fMRI examination before and after the training to assess the effects of the protocol on brain plasticity mechanisms in motor and imagery tasks. Results Our results show that the rehabilitation protocol can effectively improve gait performance and balance and reduce the risk of falls in stroke patients. Furthermore, the fMRI results suggest that rehabilitation is associated with cerebral plastic changes in motor networks. Discussion The present findings, if confirmed by future research, have the potential to advance the development of new, more effective rehabilitation approaches for stroke patients, improving their quality of life and reducing the burden of stroke-related disability.
Collapse
Affiliation(s)
- Maria-Chiara Villa
- BraIn Plasticity and Behavior Changes (BIP) at Department of Psychology and Neuroscience Institute of Turin (NIT), University of Turin, Turin, Italy
- Clinical Psychology Unit, Molinette Hospital, Città della Salute e della Scienza, Turin, Italy
| | - Giuliano C. Geminiani
- BraIn Plasticity and Behavior Changes (BIP) at Department of Psychology and Neuroscience Institute of Turin (NIT), University of Turin, Turin, Italy
- Clinical Psychology Unit, Molinette Hospital, Città della Salute e della Scienza, Turin, Italy
| | - Marina Zettin
- BraIn Plasticity and Behavior Changes (BIP) at Department of Psychology and Neuroscience Institute of Turin (NIT), University of Turin, Turin, Italy
- Centro Puzzle-Rehabilitation of Acquired Brain Damages, Turin, Italy
| | - Alessandro Cicerale
- BraIn Plasticity and Behavior Changes (BIP) at Department of Psychology and Neuroscience Institute of Turin (NIT), University of Turin, Turin, Italy
| | - Irene Ronga
- BraIn Plasticity and Behavior Changes (BIP) at Department of Psychology and Neuroscience Institute of Turin (NIT), University of Turin, Turin, Italy
| | - Sergio Duca
- Department of Environment, Land and Infrastructure Engineering (DIATI), Polytechnic of Turin, Turin, Italy
- Neuroradiology Unit, Koelliker Hospital, Turin, Italy
| | - Katiuscia Sacco
- BraIn Plasticity and Behavior Changes (BIP) at Department of Psychology and Neuroscience Institute of Turin (NIT), University of Turin, Turin, Italy
- Clinical Psychology Unit, Molinette Hospital, Città della Salute e della Scienza, Turin, Italy
- Centro Puzzle-Rehabilitation of Acquired Brain Damages, Turin, Italy
- Department of Environment, Land and Infrastructure Engineering (DIATI), Polytechnic of Turin, Turin, Italy
| |
Collapse
|
21
|
Neo JRE, Visperas CA, Tan MPH, Tay SS. Novel use of robot-assisted gait rehabilitation in a patient with stroke and blindness. BMJ Case Rep 2023; 16:e255457. [PMID: 37479488 PMCID: PMC10364153 DOI: 10.1136/bcr-2023-255457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/23/2023] Open
Abstract
Robot-assisted gait training (RAGT) is an effective adjunctive treatment for patients with stroke that helps to regain functional mobility and is applied in many rehabilitation units for poststroke neurorecovery. We discuss our successful attempt to apply RAGT in a patient with blindness that impeded his ability to maintain balance during gait training. He initially required two assistants to walk, but after undergoing conventional therapy with adjunctive RAGT, he improved to standby assistance for ambulation. There were also improvements in balance, activity tolerance and quality of life. Low-or-no vision states can affect the pace of recovery poststroke, but RAGT and conventional physiotherapy can possibly be combined in such patients to improve balance and motor outcomes. The Andago robot's safety features of weight support, harnessed suspension and walking mode selection supported our decision and enabled us to apply it safely for this patient.
Collapse
Affiliation(s)
| | | | | | - San San Tay
- Rehabilitation Medicine, Changi General Hospital, Singapore
| |
Collapse
|
22
|
Gil-Agudo Á, Megía-García Á, Pons JL, Sinovas-Alonso I, Comino-Suárez N, Lozano-Berrio V, Del-Ama AJ. Exoskeleton-based training improves walking independence in incomplete spinal cord injury patients: results from a randomized controlled trial. J Neuroeng Rehabil 2023; 20:36. [PMID: 36964574 PMCID: PMC10039497 DOI: 10.1186/s12984-023-01158-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 03/10/2023] [Indexed: 03/26/2023] Open
Abstract
BACKGROUND In recent years, ambulatory lower limb exoskeletons are being gradually introduced into the clinical practice to complement walking rehabilitation programs. However, the clinical evidence of the outcomes attained with these devices is still limited and nonconclusive. Furthermore, the user-to-robot adaptation mechanisms responsible for functional improvement are still not adequately unveiled. This study aimed to (1) assess the safety and feasibility of using the HANK exoskeleton for walking rehabilitation, and (2) investigate the effects on walking function after a training program with it. METHODS A randomized controlled trial was conducted including a cohort of 23 patients with less than 1 year since injury, neurological level of injury (C2-L4) and severity (American Spinal Cord Injury Association Impairment Scale [AIS] C or D). The intervention was comprised of 15 one-hour gait training sessions with lower limb exoskeleton HANK. Safety was assessed through monitoring of adverse events, and pain and fatigue through a Visual Analogue Scale. LEMS, WISCI-II, and SCIM-III scales were assessed, along with the 10MWT, 6MWT, and the TUG walking tests (see text for acronyms). RESULTS No major adverse events were reported. Participants in the intervention group (IG) reported 1.8 cm (SD 1.0) for pain and 3.8 (SD 1.7) for fatigue using the VAS. Statistically significant differences were observed for the WISCI-II for both the "group" factor (F = 16.75, p < 0.001) and "group-time" interactions (F = 8.87; p < 0.01). A post-hoc analysis revealed a statistically significant increase of 3.54 points (SD 2.65, p < 0.0001) after intervention for the IG but not in the CG (0.7 points, SD 1.49, p = 0.285). No statistical differences were observed between groups for the remaining variables. CONCLUSIONS The use of HANK exoskeleton in clinical settings is safe and well-tolerated by the patients. Patients receiving treatment with the exoskeleton improved their walking independence as measured by the WISCI-II after the treatment.
Collapse
Affiliation(s)
- Ángel Gil-Agudo
- Biomechanics and Technical Aids Department, National Hospital for Paraplegics, SESCAM, Finca la Peraleda s/n, 45071, Toledo, Spain.
- Physical Medicine and Rehabilitation Department, National Hospital for Paraplegics, SESCAM, Toledo, Spain.
- Neurorehabilitation and Biomechanics Unit (HNP-SESCAM), Associate Unit CSIC, Toledo, Spain.
| | - Álvaro Megía-García
- Biomechanics and Technical Aids Department, National Hospital for Paraplegics, SESCAM, Finca la Peraleda s/n, 45071, Toledo, Spain
- Physical Medicine and Rehabilitation Department, National Hospital for Paraplegics, SESCAM, Toledo, Spain
- Neurorehabilitation and Biomechanics Unit (HNP-SESCAM), Associate Unit CSIC, Toledo, Spain
- Toledo Physiotherapy Research Group (GIFTO), Faculty of Physiotherapy and Nursing, Castilla La Mancha University, Toledo, Spain
| | - José Luis Pons
- Legs and Walking Lab, Shirley Ryan Ability Laboratory (Formerly Rehabilitation Institute of Chicago), Chicago, IL, USA
- Department of Physical Medicine and Rehabilitation, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Department of Biomedical Engineering, McCormick School of Engineering and Applied Science, Northwestern University, Chicago, IL, USA
- Department of Mechanical Engineering, McCormick School of Engineering and Applied Science, Northwestern University, Chicago, IL, USA
- Neural Rehabilitation Group, Cajal Institute, Spanish National Research Council (CSIC), Madrid, Spain
| | - Isabel Sinovas-Alonso
- Biomechanics and Technical Aids Department, National Hospital for Paraplegics, SESCAM, Finca la Peraleda s/n, 45071, Toledo, Spain
- Physical Medicine and Rehabilitation Department, National Hospital for Paraplegics, SESCAM, Toledo, Spain
- Neurorehabilitation and Biomechanics Unit (HNP-SESCAM), Associate Unit CSIC, Toledo, Spain
| | - Natalia Comino-Suárez
- Toledo Physiotherapy Research Group (GIFTO), Faculty of Physiotherapy and Nursing, Castilla La Mancha University, Toledo, Spain
| | - Vicente Lozano-Berrio
- Biomechanics and Technical Aids Department, National Hospital for Paraplegics, SESCAM, Finca la Peraleda s/n, 45071, Toledo, Spain
- Physical Medicine and Rehabilitation Department, National Hospital for Paraplegics, SESCAM, Toledo, Spain
- Neurorehabilitation and Biomechanics Unit (HNP-SESCAM), Associate Unit CSIC, Toledo, Spain
| | - Antonio J Del-Ama
- Biomechanics and Technical Aids Department, National Hospital for Paraplegics, SESCAM, Finca la Peraleda s/n, 45071, Toledo, Spain
- Physical Medicine and Rehabilitation Department, National Hospital for Paraplegics, SESCAM, Toledo, Spain
- Neurorehabilitation and Biomechanics Unit (HNP-SESCAM), Associate Unit CSIC, Toledo, Spain
- Rey Juan Carlos University, Electronic Technology Area, Móstoles, Spain
| |
Collapse
|
23
|
Mitsopoulos K, Fiska V, Tagaras K, Papias A, Antoniou P, Nizamis K, Kasimis K, Sarra PD, Mylopoulou D, Savvidis T, Praftsiotis A, Arvanitidis A, Lyssas G, Chasapis K, Moraitopoulos A, Astaras A, Bamidis PD, Athanasiou A. NeuroSuitUp: System Architecture and Validation of a Motor Rehabilitation Wearable Robotics and Serious Game Platform. SENSORS (BASEL, SWITZERLAND) 2023; 23:3281. [PMID: 36991992 PMCID: PMC10053382 DOI: 10.3390/s23063281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 03/04/2023] [Accepted: 03/14/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND This article presents the system architecture and validation of the NeuroSuitUp body-machine interface (BMI). The platform consists of wearable robotics jacket and gloves in combination with a serious game application for self-paced neurorehabilitation in spinal cord injury and chronic stroke. METHODS The wearable robotics implement a sensor layer, to approximate kinematic chain segment orientation, and an actuation layer. Sensors consist of commercial magnetic, angular rate and gravity (MARG), surface electromyography (sEMG), and flex sensors, while actuation is achieved through electrical muscle stimulation (EMS) and pneumatic actuators. On-board electronics connect to a Robot Operating System environment-based parser/controller and to a Unity-based live avatar representation game. BMI subsystems validation was performed using exercises through a Stereoscopic camera Computer Vision approach for the jacket and through multiple grip activities for the glove. Ten healthy subjects participated in system validation trials, performing three arm and three hand exercises (each 10 motor task trials) and completing user experience questionnaires. RESULTS Acceptable correlation was observed in 23/30 arm exercises performed with the jacket. No significant differences in glove sensor data during actuation state were observed. No difficulty to use, discomfort, or negative robotics perception were reported. CONCLUSIONS Subsequent design improvements will implement additional absolute orientation sensors, MARG/EMG based biofeedback to the game, improved immersion through Augmented Reality and improvements towards system robustness.
Collapse
Affiliation(s)
- Konstantinos Mitsopoulos
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Vasiliki Fiska
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Konstantinos Tagaras
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Athanasios Papias
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Panagiotis Antoniou
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Konstantinos Nizamis
- Department of Design, Production and Management, University of Twente, 7522 NB Enschede, The Netherlands
| | - Konstantinos Kasimis
- Department of Physiotherapy, International Hellenic University, 57400 Thessaloniki, Greece
| | - Paschalina-Danai Sarra
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Diamanto Mylopoulou
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Theodore Savvidis
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Apostolos Praftsiotis
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Athanasios Arvanitidis
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - George Lyssas
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Konstantinos Chasapis
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Alexandros Moraitopoulos
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Alexander Astaras
- Department of Computer Science, American College of Thessaloniki, 55535 Thessaloniki, Greece
| | - Panagiotis D. Bamidis
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Alkinoos Athanasiou
- Medical Physics & Digital Innovation Laboratory, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| |
Collapse
|
24
|
de Miguel-Fernández J, Lobo-Prat J, Prinsen E, Font-Llagunes JM, Marchal-Crespo L. Control strategies used in lower limb exoskeletons for gait rehabilitation after brain injury: a systematic review and analysis of clinical effectiveness. J Neuroeng Rehabil 2023; 20:23. [PMID: 36805777 PMCID: PMC9938998 DOI: 10.1186/s12984-023-01144-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 01/07/2023] [Indexed: 02/21/2023] Open
Abstract
BACKGROUND In the past decade, there has been substantial progress in the development of robotic controllers that specify how lower-limb exoskeletons should interact with brain-injured patients. However, it is still an open question which exoskeleton control strategies can more effectively stimulate motor function recovery. In this review, we aim to complement previous literature surveys on the topic of exoskeleton control for gait rehabilitation by: (1) providing an updated structured framework of current control strategies, (2) analyzing the methodology of clinical validations used in the robotic interventions, and (3) reporting the potential relation between control strategies and clinical outcomes. METHODS Four databases were searched using database-specific search terms from January 2000 to September 2020. We identified 1648 articles, of which 159 were included and evaluated in full-text. We included studies that clinically evaluated the effectiveness of the exoskeleton on impaired participants, and which clearly explained or referenced the implemented control strategy. RESULTS (1) We found that assistive control (100% of exoskeletons) that followed rule-based algorithms (72%) based on ground reaction force thresholds (63%) in conjunction with trajectory-tracking control (97%) were the most implemented control strategies. Only 14% of the exoskeletons implemented adaptive control strategies. (2) Regarding the clinical validations used in the robotic interventions, we found high variability on the experimental protocols and outcome metrics selected. (3) With high grade of evidence and a moderate number of participants (N = 19), assistive control strategies that implemented a combination of trajectory-tracking and compliant control showed the highest clinical effectiveness for acute stroke. However, they also required the longest training time. With high grade of evidence and low number of participants (N = 8), assistive control strategies that followed a threshold-based algorithm with EMG as gait detection metric and control signal provided the highest improvements with the lowest training intensities for subacute stroke. Finally, with high grade of evidence and a moderate number of participants (N = 19), assistive control strategies that implemented adaptive oscillator algorithms together with trajectory-tracking control resulted in the highest improvements with reduced training intensities for individuals with chronic stroke. CONCLUSIONS Despite the efforts to develop novel and more effective controllers for exoskeleton-based gait neurorehabilitation, the current level of evidence on the effectiveness of the different control strategies on clinical outcomes is still low. There is a clear lack of standardization in the experimental protocols leading to high levels of heterogeneity. Standardized comparisons among control strategies analyzing the relation between control parameters and biomechanical metrics will fill this gap to better guide future technical developments. It is still an open question whether controllers that provide an on-line adaptation of the control parameters based on key biomechanical descriptors associated to the patients' specific pathology outperform current control strategies.
Collapse
Affiliation(s)
- Jesús de Miguel-Fernández
- Biomechanical Engineering Lab, Department of Mechanical Engineering and Research Centre for Biomedical Engineering, Universitat Politècnica de Catalunya, Diagonal 647, 08028 Barcelona, Spain
- Institut de Recerca Sant Joan de Déu, Santa Rosa 39-57, 08950 Esplugues de Llobregat, Spain
| | | | - Erik Prinsen
- Roessingh Research and Development, Roessinghsbleekweg 33b, 7522AH Enschede, Netherlands
| | - Josep M. Font-Llagunes
- Biomechanical Engineering Lab, Department of Mechanical Engineering and Research Centre for Biomedical Engineering, Universitat Politècnica de Catalunya, Diagonal 647, 08028 Barcelona, Spain
- Institut de Recerca Sant Joan de Déu, Santa Rosa 39-57, 08950 Esplugues de Llobregat, Spain
| | - Laura Marchal-Crespo
- Cognitive Robotics Department, Delft University of Technology, Mekelweg 2, 2628 Delft, Netherlands
- Motor Learning and Neurorehabilitation Lab, ARTORG Center for Biomedical Engineering Research, University of Bern, Freiburgstrasse 3, 3010 Bern, Switzerland
- Department of Rehabilitation Medicine, Erasmus MC University Medical Center, Doctor Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
| |
Collapse
|
25
|
Yakşi E, Bahadır ES, Yaşar MF, Alışık T, Kurul R, Demirel A. The effect of robot-assisted gait training frequency on walking, functional recovery, and quality of life in patients with stroke. Acta Neurol Belg 2023; 123:583-590. [PMID: 36717532 DOI: 10.1007/s13760-023-02194-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 01/16/2023] [Indexed: 02/01/2023]
Abstract
AIM This study aims to investigate the effects of robot-assisted gait training (RAGT) frequency on walking, functional recovery, QoL and mood. METHODS Sixty patients aged 50-75, diagnosed with post-stroke hemiplegia were entered into the retrospective analysis. Participants who scored maximum 3 on the Modified Rankin Scale and were diagnosed with moderate stroke according to The NIH Stroke Scale were included in the study. The participants in group 1 (G1) received only conventional treatment (CT), in group 2 (G2) participants received one session of RAGT per week in addition to the CT program, and group 3 (G3) received two sessions of RAGT per week in addition to the CT program. 6-min walk test (6-MWT), Barthel Index (BI), Stroke-Specific Quality of Life Scale (SSQoL), and Beck Depression Inventory (BDI) were recorded. RESULTS Median change in SSQoL of G3 was significantly higher from median change of G1 (p < 0.05), and median change in BDI of G3 was significantly lower than median change of G1 (p < 0.05). Median change in BDI of G3 was also significantly lower from change of G2 (p < 0.05). CONCLUSION Two weekly sessions of RAGT in addition to CT exhibit positive effects on QoL and mood but no additional contribution to functional status.
Collapse
Affiliation(s)
- Elif Yakşi
- Faculty of Medicine, Department of Physical Medicine and Rehabilitation, Bolu Abant Izzet Baysal University, 14020, Bolu, Turkey.
| | - Elif Selim Bahadır
- Faculty of Medicine, Department of Physical Medicine and Rehabilitation, Bolu Abant Izzet Baysal University, 14020, Bolu, Turkey
| | - Mustafa Fatih Yaşar
- Faculty of Medicine, Department of Physical Medicine and Rehabilitation, Bolu Abant Izzet Baysal University, 14020, Bolu, Turkey
| | - Tuğba Alışık
- Faculty of Medicine, Department of Physical Medicine and Rehabilitation, Bolu Abant Izzet Baysal University, 14020, Bolu, Turkey
| | - Ramazan Kurul
- Department of Physical Therapy and Rehabilitation, Faculty of Health Sciences, Bolu Abant Izzet Baysal University, Bolu, Turkey
| | - Adnan Demirel
- Faculty of Medicine, Department of Physical Medicine and Rehabilitation, Bolu Abant Izzet Baysal University, 14020, Bolu, Turkey
| |
Collapse
|
26
|
Yoo HJ, Bae CR, Jeong H, Ko MH, Kang YK, Pyun SB. Clinical efficacy of overground powered exoskeleton for gait training in patients with subacute stroke: A randomized controlled pilot trial. Medicine (Baltimore) 2023; 102:e32761. [PMID: 36705351 PMCID: PMC9875981 DOI: 10.1097/md.0000000000032761] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND To investigate the efficacy and usefulness of 12 sessions of overground robot-assisted gait training (RAGT) in subacute stroke patients. METHODS In this pilot study, 17 subacute stroke survivors were randomly assigned to the intervention (n = 9) and control (n = 8) groups. In addition to the conventional stroke neurorehabilitation program, the intervention group received 30 minutes of overground exoskeletal RAGT, while the control group received 30 minutes of conventional gait training by a physiotherapist. All interventions were performed in 12 sessions (3 times/week for 4 weeks). The primary aim was to assess ambulation ability using the functional ambulation category (FAC). The 10-m walk test, Berg Balance Scale, timed-up-and-go Timed-up-and-go, Fugl-Meyer assessment of lower extremity, pulmonary function test, the Korean version of the modified Barthel index, and Euro quality of life-5 dimensions (EQ-5D) were assessed. All outcomes were evaluated both before and after the intervention. RESULTS The Berg Balance Scale, Korean version of the modified Barthel index, and EQ-5D scores (P < .05) improved significantly in both groups. Only those in the RAGT group improved significantly in the FAC, timed-up-and-go, and 10-m walk test (P < .05). In the FAC and EQ-5D, the intervention group showed greater improvement than the control group (P < .05). CONCLUSION We found that 4 weeks of overground RAGT combined with conventional training may improve walking independence and quality of life in patients with subacute stroke.
Collapse
Affiliation(s)
- Hyun-Joon Yoo
- Department of Physical Medicine and Rehabilitation, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Cho Rong Bae
- Department of Rehabilitation Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Hyeonsoon Jeong
- Department of Physical Medicine and Rehabilitation, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Myoung-Hwan Ko
- Department of Physical Medicine and Rehabilitation, Jeonbuk National University College of Medicine, Jeonju, Korea
| | - Yoon-Kyoo Kang
- Department of Physical Medicine and Rehabilitation, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Sung-Bom Pyun
- Department of Physical Medicine and Rehabilitation, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
- Brain Convergence Research Center, Korea University College of Medicine, Seoul, Korea
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Korea
- * Correspondence: Sung-Bom Pyun, Department of Physical Medicine and Rehabilitation, Korea University Anam Hospital, Korea University College of Medicine, 73, Goryeodae-ro, Seongbuk-gu, Seoul 02841, Korea (e-mail: )
| |
Collapse
|
27
|
Ii T, Hirano S, Imoto D, Otaka Y. Effect of gait training using Welwalk on gait pattern in individuals with hemiparetic stroke: a cross-sectional study. Front Neurorobot 2023; 17:1151623. [PMID: 37139264 PMCID: PMC10149761 DOI: 10.3389/fnbot.2023.1151623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 03/29/2023] [Indexed: 05/05/2023] Open
Abstract
Introduction We aimed to explore the effect of gait training using Welwalk on gait patterns by comparing differences in gait patterns between robotic-assisted gait training using Welwalk and gait training using an orthosis in individuals with hemiparetic stroke. Methods This study included 23 individuals with hemiparetic stroke who underwent gait training with Welwalk combined with overground gait training using an orthosis. Three-dimensional motion analysis on a treadmill was performed under two conditions for each participant: during gait training with Welwalk and with the ankle-foot orthosis. The spatiotemporal parameters and gait patterns were compared between the two conditions. Results The affected step length was significantly longer, the step width was significantly wider, and the affected single support phase ratio was significantly higher in the Welwalk condition than in the orthosis condition. The index values of abnormal gait patterns were significantly lower while using Welwalk than in the orthosis condition. The following four indices were lower in the Welwalk condition: contralateral vaulting, insufficient knee flexion, excessive hip external rotation during the paretic swing phase, and paretic forefoot contact. Discussion Gait training using Welwalk increased the affected step length, step width, and single support phase while suppressing abnormal gait patterns as compared to gait training using the ankle-foot orthosis. This study suggests that gait training using Welwalk may promote a more efficient gait pattern reacquisition that suppresses abnormal gait patterns. Trial registration Prospectively registered in the Japan Registry of Clinical Trials (https://jrct.niph.go.jp; jRCTs042180152).
Collapse
Affiliation(s)
- Takuma Ii
- Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan
| | - Satoshi Hirano
- Department of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Aichi, Japan
- *Correspondence: Satoshi Hirano
| | - Daisuke Imoto
- Department of Rehabilitation, Fujita Health University Hospital, Toyoake, Aichi, Japan
| | - Yohei Otaka
- Department of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Aichi, Japan
| |
Collapse
|
28
|
Tosto-Mancuso J, Rozanski G, Patel N, Breyman E, Dewil S, Jumreornvong O, Putrino D, Tabacof L, Escalon M, Cortes M. Retrospective case-control study to compare exoskeleton-assisted walking with standard care in subacute non-traumatic brain injury patients. NeuroRehabilitation 2023; 53:577-584. [PMID: 38143393 DOI: 10.3233/nre-230168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2023]
Abstract
BACKGROUND Advanced technologies are increasingly used to address impaired mobility after neurological insults, with growing evidence of their benefits for various populations. However, certain robotic devices have not been extensively investigated in specific conditions, limiting knowledge about optimal application for healthcare. OBJECTIVE To compare effectiveness of conventional gait training with exoskeleton-assisted walking for non-traumatic brain injury during early stage rehabilitation. METHODS Clinical evaluation data at admission and discharge were obtained in a retrospective case-control design. Patients received standard of care physical therapy either using Ekso GT or not. Within- or between-group statistical tests were performed to determine change over time and interventional differences. RESULTS This study analyzed forty-nine individuals (33% female), 20 controls and 29 Ekso participants who were equivalent at baseline. Both groups improved in Functional Independence Measure scores and ambulation ability (p < .00001 and p < .001, respectively). Control subjects demonstrated significantly different distance walked and assistance level values at discharge from those who were treated with the exoskeleton (p < .01). CONCLUSION Robotic locomotion is non-inferior for subacute functional recovery after non-traumatic brain injury. Conventional therapy produced larger gait performance gains during hospitalization. Further research is needed to understand specific factors influencing efficacy and the long-term implications after rehabilitation.
Collapse
Affiliation(s)
- Jenna Tosto-Mancuso
- Department of Rehabilitation & Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Gabriela Rozanski
- Department of Rehabilitation & Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nehal Patel
- Department of Rehabilitation & Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Erica Breyman
- Department of Rehabilitation & Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sophie Dewil
- Department of Rehabilitation & Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Oranicha Jumreornvong
- Department of Rehabilitation & Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - David Putrino
- Department of Rehabilitation & Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Laura Tabacof
- Department of Rehabilitation & Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Miguel Escalon
- Department of Rehabilitation & Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mar Cortes
- Department of Rehabilitation & Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| |
Collapse
|
29
|
Mazzucchelli M, Mazzoleni D, Campanini I, Merlo A, Mazzoli D, Melegari C, Colombo V, Cerulli S, Piscitelli D, Perin C, Andrenelli E, Bizzarini E, Calabro RS, Carmignano SM, Cassio A, Chisari C, Dalise S, Fundaro C, Gazzotti V, Stampacchia G, Boldrini P, Mazzoleni S, Posteraro F, Benanti P, Castelli E, Draicchio F, Falabella V, Galeri S, Gimigliano F, Grigioni M, Mazzon S, Molteni F, Morone G, Petrarca M, Picelli A, Senatore M, Turchetti G, Bonaiuti D. Evidence-based improvement of gait in post-stroke patients following robot-assisted training: A systematic review. NeuroRehabilitation 2022; 51:595-608. [PMID: 36502342 DOI: 10.3233/nre-220024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND The recovery of walking after stroke is a priority goal for recovering autonomy. In the last years robotic systems employed for Robotic Assisted Gait Training (RAGT) were developed. However, literature and clinical practice did not offer standardized RAGT protocol or pattern of evaluation scales. OBJECTIVE This systematic review aimed to summarize the available evidence on the use of RAGT in post-stroke, following the CICERONE Consensus indications. METHODS The literature search was conducted on PubMed, Cochrane Library and PEDro, including studies with the following criteria: 1) adult post-stroke survivors with gait disability in acute/subacute/chronic phase; 2) RAGT as intervention; 3) any comparators; 4) outcome regarding impairment, activity, and participation; 5) both primary studies and reviews. RESULTS Sixty-one articles were selected. Data about characteristics of patients, level of disability, robotic devices used, RAGT protocols, outcome measures, and level of evidence were extracted. CONCLUSION It is possible to identify robotic devices that are more suitable for specific phase disease and level of disability, but we identified significant variability in dose and protocols. RAGT as an add-on treatment seemed to be prevalent. Further studies are needed to investigate the outcomes achieved as a function of RAGT doses delivered.
Collapse
Affiliation(s)
| | - Daniele Mazzoleni
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Isabella Campanini
- Department of Neuromotor and Rehabilitation, LAM-Motion Analysis Laboratory, San Sebastiano Hospital, AUSL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Andrea Merlo
- Department of Neuromotor and Rehabilitation, LAM-Motion Analysis Laboratory, San Sebastiano Hospital, AUSL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.,Gait and Motion Analysis Laboratory, Sol et Salus Ospedale Privato Accreditato, Rimini, Italy
| | - Davide Mazzoli
- Gait and Motion Analysis Laboratory, Sol et Salus Ospedale Privato Accreditato, Rimini, Italy
| | | | | | - Simona Cerulli
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Daniele Piscitelli
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.,School of Physical and Occupational Therapy, McGill University, Montreal, Canada
| | - Cecilia Perin
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.,San Donato Group, Istituti Clinici Zucchi, Monza, Italy
| | - Elisa Andrenelli
- Department of Experimental and Clinical Medicine, Università Politecnica delle Marche, Ancona, Italy
| | - Emiliana Bizzarini
- Department of Rehabilitation Medicine, Spinal Cord Unit, Gervasutta Hospital, Azienda Sanitaria Universitaria Friuli Centrale (ASU FC), Udine, Italy
| | | | | | - Anna Cassio
- Spinal Cord Unit and Intensive Rehabilitation Medicine, Ospedale di Fiorenzuola d'Arda, AUSL Piacenza, Piacenza, Italy
| | - Carmelo Chisari
- Department of Translational Research and New Technologies in Medicine and Surgery, Neurorehabiltation Section, University of Pisa, Pisa, Italy
| | - Stefania Dalise
- Department of Translational Research and New Technologies in Medicine and Surgery, Neurorehabiltation Section, University of Pisa, Pisa, Italy
| | - Cira Fundaro
- Neurophysiopathology Unit, Istituti Clinici Scientifici Maugeri, IRCCS Montescano, Pavia, Italy
| | - Valeria Gazzotti
- Centro Protesi Vigorso di Budrio, Istituto Nazionale Assicurazione Infortuni sul Lavoro (INAIL), Bologna, Italy
| | | | - Paolo Boldrini
- Italian Society of Physical Medicine and Rehabilitation (SIMFER), Rome, Italy
| | - Stefano Mazzoleni
- Department of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy
| | - Federico Posteraro
- Department of Rehabilitation, Versilia Hospital - AUSL12, Viareggio, Italy
| | | | - Enrico Castelli
- Department of Paediatric Neurorehabilitation, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Francesco Draicchio
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Rome, Italy
| | - Vincenzo Falabella
- Italian Federation of Persons with Spinal Cord Injuries (FAIP Onlus), Rome, Italy
| | | | - Francesca Gimigliano
- Department of Mental, Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Mauro Grigioni
- National Center for Innovative Technologies in Public Health, Italian National Institute of Health, Rome, Italy
| | - Stefano Mazzon
- Rehabilitation Unit, ULSS (Local Health Authority) Euganea, Camposampiero Hospital, Padua, Italy
| | - Franco Molteni
- Department of Rehabilitation Medicine, Villa Beretta Rehabilitation Center, Valduce Hospital, Lecco, Italy
| | | | - Maurizio Petrarca
- Movement Analysis and Robotics Laboratory (MARlab), IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Alessandro Picelli
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Michele Senatore
- Associazione Italiana dei Terapisti Occupazionali (AITO), Rome, Italy
| | | | | |
Collapse
|
30
|
Yamamoto R, Sasaki S, Kuwahara W, Kawakami M, Kaneko F. Effect of exoskeleton-assisted Body Weight-Supported Treadmill Training on gait function for patients with chronic stroke: a scoping review. J Neuroeng Rehabil 2022; 19:143. [PMID: 36544163 PMCID: PMC9768983 DOI: 10.1186/s12984-022-01111-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Accepted: 11/14/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Therapeutic exercise for gait function using an exoskeleton-assisted Body Weight Supported Treadmill Training (BWSTT) has been identified as a potential intervention that allows for task-based repetitive training with appropriate kinematics while adjusting the amount of body weight support (BWS). Nonetheless, its effect on gait in patients with stroke in the chronic phase are yet to be clarified. The primary aim of this scoping review was to present the status of effectiveness of exoskeleton-assisted BWSTT in patients with chronic stroke. The secondary aims were to summarise intervention protocols, types and functions of BWSTT exoskeletal robotic devices currently used clinically. METHOD AND RESULTS Articles were accessed and collected from PubMed, Ovid MEDLINE, Cochrane Central Register of Controlled Trials, and Web of Science databases, which were completed in October 2020. Articles were included if the subjects were adults with stroke in the chronic phase (onset ≥ 6 months) and if they utilised a robotic exoskeleton with treadmill and body weight support and investigated the efficacy of gait exercise. A total of 721 studies were identified, of which 11 randomised controlled trials were selected. All included studies were published from 2008 to 2020. Overall, 309 subjects were enrolled; of these, 241 (156 males, 85 females) participated. Walking outcome measures were used more often to evaluate the functional aspects of gait than to evaluate gait independence. In 10 of 11 studies, showed the effectiveness of exoskeleton robot-assisted BWSTT in terms of outcomes contributing to improved gait function. Two studies reported that exoskeleton-assisted BWSTT with combination therapy was significantly more effective in improving than exoskeleton-assisted BWSTT alone. However, no significant difference was identified between the groups; compared with therapist-assisted BWSTT groups, exoskeleton-assisted BWSTT groups did not exhibit significant change. CONCLUSION This review suggests that exoskeleton-assisted BWSTT for patients with chronic stroke may be effective in improving walking function. However, the potential may be "to assist" and not because of using the robot. Further studies are required to verify its efficacy and strengthen evidence on intervention protocols.
Collapse
Affiliation(s)
- Rieko Yamamoto
- grid.26091.3c0000 0004 1936 9959Department of Rehabilitation Medicine, Keio University School of Medicine, 35 Shinanomachi, Shjinjuku, Tokyo, Japan ,grid.268446.a0000 0001 2185 8709Department of Artificial Environment, Safety, Environment and System Engineering, Yokohama National University Graduate School of Environment and Information Sciences, 79-7, Tokiwadai, Hodogaya, Yokohama, Japan ,grid.39158.360000 0001 2173 7691Center for Environmental and Health Sciences, Hokkaido University, Kita 12, Nishi 7, Kita-ku, Sapporo, Japan
| | - Shun Sasaki
- grid.26091.3c0000 0004 1936 9959Department of Rehabilitation Medicine, Keio University School of Medicine, 35 Shinanomachi, Shjinjuku, Tokyo, Japan ,Division of Health Promotion, ARCE Inc., Sagamihara, Japan
| | - Wataru Kuwahara
- grid.26091.3c0000 0004 1936 9959Department of Rehabilitation Medicine, Keio University School of Medicine, 35 Shinanomachi, Shjinjuku, Tokyo, Japan ,grid.265074.20000 0001 1090 2030Department of Physical Therapy, Graduate School of Health Sciences, Tokyo Metropolitan University, 7-2-10 Higashi-Oku, Arakawa-ku, Tokyo, Japan
| | - Michiyuki Kawakami
- grid.26091.3c0000 0004 1936 9959Department of Rehabilitation Medicine, Keio University School of Medicine, 35 Shinanomachi, Shjinjuku, Tokyo, Japan
| | - Fuminari Kaneko
- grid.26091.3c0000 0004 1936 9959Department of Rehabilitation Medicine, Keio University School of Medicine, 35 Shinanomachi, Shjinjuku, Tokyo, Japan ,grid.265074.20000 0001 1090 2030Department of Physical Therapy, Graduate School of Health Sciences, Tokyo Metropolitan University, 7-2-10 Higashi-Oku, Arakawa-ku, Tokyo, Japan
| |
Collapse
|
31
|
Mathematical Analysis and Motion Capture System Utilization Method for Standardization Evaluation of Tracking Objectivity of 6-DOF Arm Structure for Rehabilitation Training Exercise Therapy Robot. Diagnostics (Basel) 2022; 12:diagnostics12123179. [PMID: 36553186 PMCID: PMC9777214 DOI: 10.3390/diagnostics12123179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 12/12/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022] Open
Abstract
A treatment method for suppressing shoulder pain by reducing the secretion of neurotransmitters in the brain is being studied in compliance with domestic and international standards. A robot is being developed to assist physical therapists in shoulder rehabilitation exercise treatment. The robot used for rehabilitation therapy enables the training of patients to perform rehabilitation exercises repeatedly. However, the biomechanical movement (or motion) of the shoulder joint should be accurately designed to enhance efficiency using a shoulder rehabilitation robot. Furthermore, safely treating patients by accurately evaluating biomechanical movements in compliance with domestic and international standards is a major task. Therefore, an in-depth analysis of shoulder movement is essential for understanding the mechanism of shoulder rehabilitation using robots. This paper proposes a method for analyzing shoulder movements. The rotation angle and range of motion (ROM) of the shoulder joint are measured by attaching a marker to the body and analyzing the inverse kinematics. The first motion is abduction and adduction, and the second is external and internal rotation. The location information of the marker is transmitted to an application software through an infrared camera. For the analysis using an inverse kinematics solution, five males and five females participated in the motion capture experiment. The subjects did not have any disability, and abduction and adduction were repeated 10 times. As a result, ROM of the abduction and adduction were 148° with males and 138.7° in females. Moreover, ROM of the external and internal rotation were 111.2° with males and 106° in females. Because this study enables tracking of the center coordinates of the joint suitably through a motion capture system, inverse kinematics can be accurately calculated. Additionally, a mathematical inverse kinematics equation will utilize follow-up study for designing an upper rehabilitations robot. The proposed method is assessed to be able to contribute to the definition of domestic and international standardization of rehabilitation robots and motion capture for objective evaluation.
Collapse
|
32
|
Imoto D, Hirano S, Mukaino M, Saitoh E, Otaka Y. A novel gait analysis system for detecting abnormal hemiparetic gait patterns during robot-assisted gait training: A criterion validity study among healthy adults. Front Neurorobot 2022; 16:1047376. [PMID: 36531918 PMCID: PMC9751383 DOI: 10.3389/fnbot.2022.1047376] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Accepted: 11/10/2022] [Indexed: 07/30/2023] Open
Abstract
INTRODUCTION Robot-assisted gait training has been reported to improve gait in individuals with hemiparetic stroke. Ideally, the gait training program should be customized based on individuals' gait characteristics and longitudinal changes. However, a gait robot that uses gait characteristics to provide individually tailored gait training has not been proposed. The new gait training robot, "Welwalk WW-2000," permits modification of various parameters, such as time and load of mechanical assistance for a patient's paralyzed leg. The robot is equipped with sensors and a markerless motion capture system to detect abnormal hemiparetic gait patterns during robot-assisted gait training. Thus, it can provide individually tailored gait training. This study aimed to investigate the criterion validity of the gait analysis system in the Welwalk WW-2000 in healthy adults. MATERIALS AND METHODS Twelve healthy participants simulated nine abnormal gait patterns that were often manifested in individuals with hemiparetic stroke while wearing the robot. Each participant was instructed to perform a total of 36 gait trials, with four levels of severity for each abnormal gait pattern. Fifteen strides for each gait trial were recorded using the markerless motion capture system in the Welwalk WW-2000 and a marker-based three-dimensional (3D) motion analysis system. The abnormal gait pattern index was then calculated for each stride from both systems. The correlation of the index values between the two methods was evaluated using Spearman's rank correlation coefficients for each gait pattern in each participant. RESULTS Using the participants' index values for each abnormal gait pattern obtained using the two motion analysis methods, the median Spearman's rank correlation coefficients ranged from 0.68 to 0.93, which corresponded to moderate to very high correlation. CONCLUSION The gait analysis system in the Welwalk WW-2000 for real-time detection of abnormal gait patterns during robot-assisted gait training was suggested to be a valid method for assessing gait characteristics in individuals with hemiparetic stroke. CLINICAL TRIAL REGISTRATION [https://jrct.niph.go.jp], identifier [jRCT 042190109].
Collapse
Affiliation(s)
- Daisuke Imoto
- Department of Rehabilitation, Fujita Health University Hospital, Toyoake, Aichi, Japan
| | - Satoshi Hirano
- Department of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Aichi, Japan
| | - Masahiko Mukaino
- Department of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Aichi, Japan
| | - Eiichi Saitoh
- Department of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Aichi, Japan
| | - Yohei Otaka
- Department of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Aichi, Japan
| |
Collapse
|
33
|
Scrivener K, Shepherd R. The importance of kinesiology, biomechanics and motor learning for movement analysis and clinical reasoning in neuromuscular physiotherapy. PHYSICAL THERAPY REVIEWS 2022. [DOI: 10.1080/10833196.2022.2141529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
| | - Roberta Shepherd
- Faculty of Medicine and Health, Sydney School of Health Sciences, University of Sydney, Sydney, Australia
| |
Collapse
|
34
|
Warutkar V, Dadgal R, Mangulkar UR. Use of Robotics in Gait Rehabilitation Following Stroke: A Review. Cureus 2022; 14:e31075. [DOI: 10.7759/cureus.31075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 11/03/2022] [Indexed: 11/06/2022] Open
|
35
|
Giovannini S, Iacovelli C, Brau F, Loreti C, Fusco A, Caliandro P, Biscotti L, Padua L, Bernabei R, Castelli L. RObotic-Assisted Rehabilitation for balance and gait in Stroke patients (ROAR-S): study protocol for a preliminary randomized controlled trial. Trials 2022; 23:872. [PMID: 36224575 PMCID: PMC9558956 DOI: 10.1186/s13063-022-06812-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 10/03/2022] [Indexed: 11/12/2022] Open
Abstract
Background Stroke, the incidence of which increases with age, has a negative impact on motor and cognitive performance, quality of life, and the independence of the person and his or her family, leading to a number of direct and indirect costs. Motor recovery is essential, especially in elderly patients, to enable the patient to be independent in activities of daily living and to prevent falls. Several studies have shown how robotic training associated with physical therapy influenced functional and motor outcomes of walking after stroke by improving endurance and walking strategies. Considering data from previous studies and patients’ needs in gait and balance control, we hypothesized that robot-assisted balance treatment associated with physical therapy may be more effective than usual therapy performed by a physical therapist in terms of improving static, dynamic balance and gait, on fatigue and cognitive performance. Methods This is an interventional, single-blinded, preliminary randomized control trial. Twenty-four patients of both sexes will be recruited, evaluated, and treated at the UOC Rehabilitation and Physical Medicine, Fondazione Policlinico Universitario A. Gemelli IRCCS in Rome from January to December 2022. Patients will be randomized into two groups: the experimental group will perform specific rehabilitation for balance disorder using the Hunova® robotic platform (Movendo Technology srl, Genoa, IT) for 3 times a week, for 4 weeks (12 total sessions), and for 45 min of treatment, in addition to conventional treatment, while the conventional group (GC) will perform only conventional treatment as per daily routine. All patients will undergo clinical and instrumental evaluation at the beginning and end of the 4 weeks of treatment. Conclusions The study aims to evaluate the improvement in balance, fatigue, quality of life, and motor and cognitive performance after combined conventional and robotic balance treatment with Hunova® (Movendo Technology srl, Genoa, IT) compared with conventional therapy alone. Robotic assessment to identify the most appropriate and individualized rehabilitation treatment may allow reducing disability and improving quality of life in the frail population. This would reduce direct and indirect social costs of care and treatment for the National Health Service and caregivers. Trial registration ClinicalTrials.gov NCT05280587. Registered on March 15, 2022. Supplementary Information The online version contains supplementary material available at 10.1186/s13063-022-06812-w.
Collapse
Affiliation(s)
- Silvia Giovannini
- Department of Geriatrics and Orthopaedics, Università Cattolica del Sacro Cuore, Largo Francesco Vito, 8, 00168, Rome, Italy. .,UOS Riabilitazione Post-Acuzie, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168, Rome, Italy.
| | - Chiara Iacovelli
- Department of Aging, Neurological, Orthopaedic and Head-Neck Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168, Rome, Italy
| | - Fabrizio Brau
- UOS Riabilitazione Post-Acuzie, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168, Rome, Italy.,Department of Aging, Neurological, Orthopaedic and Head-Neck Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168, Rome, Italy
| | - Claudia Loreti
- Department of Aging, Neurological, Orthopaedic and Head-Neck Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168, Rome, Italy
| | - Augusto Fusco
- UOC Neuroriabilitazione Ad Alta Intensità, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168, Rome, Italy
| | - Pietro Caliandro
- UOC Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168, Rome, Italy
| | - Lorenzo Biscotti
- Department of Aging, Neurological, Orthopaedic and Head-Neck Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168, Rome, Italy.,Geriatric Care Promotion and Development Centre (C.E.P.S.A.G), Università Cattolica del Sacro Cuore, Rome, Italy
| | - Luca Padua
- Department of Geriatrics and Orthopaedics, Università Cattolica del Sacro Cuore, Largo Francesco Vito, 8, 00168, Rome, Italy.,UOC Neuroriabilitazione Ad Alta Intensità, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168, Rome, Italy
| | - Roberto Bernabei
- Department of Geriatrics and Orthopaedics, Università Cattolica del Sacro Cuore, Largo Francesco Vito, 8, 00168, Rome, Italy.,Department of Aging, Neurological, Orthopaedic and Head-Neck Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168, Rome, Italy
| | - Letizia Castelli
- Department of Aging, Neurological, Orthopaedic and Head-Neck Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168, Rome, Italy
| |
Collapse
|
36
|
A Comprehensive Appraisal of Meta-Analyses of Exercise-Based Stroke Rehabilitation with Trial Sequential Analysis. Healthcare (Basel) 2022; 10:healthcare10101984. [PMID: 36292431 PMCID: PMC9602124 DOI: 10.3390/healthcare10101984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 09/25/2022] [Accepted: 09/29/2022] [Indexed: 11/04/2022] Open
Abstract
Meta-analysis is a common technique used to synthesise the results of multiple studies through the combination of effect size estimates and testing statistics. Numerous meta-analyses have investigated the efficacy of exercise programmes for stroke rehabilitation. However, meta-analyses may also report false-positive results because of insufficient information or random errors. Trial sequential analysis (TSA) is an advanced technique for calculating the required information size (RIS) and more restrictive statistical significance levels for the precise assessment of any specific treatment. This study used TSA to examine whether published meta-analyses in the field of stroke rehabilitation reached the RIS and whether their overall effect sizes were sufficient. A comprehensive search of six electronic databases for articles published before May 2022 was conducted. The intervention methods were divided into four primary groups, namely aerobic or resistance exercise, machine-assisted exercise, task-oriented exercise, and theory-based exercise. The primary outcome measure was gait speed and the secondary outcome measure was balance function. The data were obtained either from the meta-analyses or as raw data from the original cited texts. All data analysis was performed in TSA software. In total, 38 articles with 46 analysable results were included in the TSA. Only 17 results (37.0%) reached the RIS. In conclusion, meta-analysis interpretation is challenging. Clinicians must consider the RIS of meta-analyses before applying the results in real-world situations. TSA can provide accurate evaluations of treatment effects, which is crucial to the development of evidence-based medicine.
Collapse
|
37
|
Huebner L, Schroeder I, Kraft E, Gutmann M, Biebl J, Klamt AC, Frey J, Warmbein A, Rathgeber I, Eberl I, Fischer U, Scharf C, Schaller SJ, Zoller M. [Early mobilization in the intensive care unit-Are robot-assisted systems the future?]. DIE ANAESTHESIOLOGIE 2022; 71:795-800. [PMID: 35925160 DOI: 10.1007/s00101-022-01130-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 03/30/2022] [Accepted: 04/26/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Intensive care unit (ICU) acquired weakness is associated with reduced physical function, increased mortality and reduced quality of life, and affects about 43% of survivors of critical illness. Lacking therapeutic options, the prevention of known risk factors and implementation of early mobilization is essential. Robotic assistance devices are increasingly being studied in mobilization. OBJECTIVE This qualitative review synthesizes the evidence of early mobilization in the ICU and focuses on the advantages of robotic assistance devices. RESULTS Active mobilization should begin early during critical care. Interventions commencing 72 h after admission to the ICU are considered early. Mobilization interventions during critical care have been shown to be safe and reduce the time on mechanical ventilation in the ICU and the length of delirious episodes. Protocolized early mobilization interventions led to more active mobilization and increased functional independence and mobility at hospital discharge. In rehabilitation after stroke, robot-assisted training increases the chance of regaining independent walking ability, especially in more severely impaired patients, seems to be safe and increases muscle strength and quality of life in small trials. CONCLUSION Early mobilization improves the outcome of the critically ill. Robotic devices support the gait training after stroke and are the subject of ongoing studies on early mobilization and verticalization in the intensive care setting.
Collapse
Affiliation(s)
- Lucas Huebner
- Klinik für Anästhesiologie, LMU Klinikum, Marchioninistr. 15, 81377, München, Deutschland.
| | - Ines Schroeder
- Klinik für Anästhesiologie, LMU Klinikum, Marchioninistr. 15, 81377, München, Deutschland
| | - Eduard Kraft
- Klinik für Orthopädie und Unfallchirurgie, Muskuloskelettales Universitätszentrum München (MUM), Klinikum der Universität München, LMU München, München, Deutschland
| | - Marcus Gutmann
- Klinik für Orthopädie und Unfallchirurgie, Muskuloskelettales Universitätszentrum München (MUM), Klinikum der Universität München, LMU München, München, Deutschland
| | - Johanna Biebl
- Klinik für Orthopädie und Unfallchirurgie, Muskuloskelettales Universitätszentrum München (MUM), Klinikum der Universität München, LMU München, München, Deutschland
| | - Amrei Christin Klamt
- Professur für Pflegewissenschaften, Katholische Universität Eichstätt-Ingolstadt, Eichstätt, Deutschland
| | - Jana Frey
- Professur für Pflegewissenschaften, Katholische Universität Eichstätt-Ingolstadt, Eichstätt, Deutschland
| | - Angelika Warmbein
- Klinische Pflegeforschung & Qualitätsmanagement, LMU Klinikum, München, Deutschland
| | - Ivanka Rathgeber
- Klinische Pflegeforschung & Qualitätsmanagement, LMU Klinikum, München, Deutschland
| | - Inge Eberl
- Professur für Pflegewissenschaften, Katholische Universität Eichstätt-Ingolstadt, Eichstätt, Deutschland
| | - Uli Fischer
- Klinische Pflegeforschung & Qualitätsmanagement, LMU Klinikum, München, Deutschland
| | - Christina Scharf
- Klinik für Anästhesiologie, LMU Klinikum, Marchioninistr. 15, 81377, München, Deutschland
| | - Stefan J Schaller
- Klinik für Anästhesiologie mit Schwerpunkt operative Intensivmedizin, Charité - Universitätsmedizin Berlin, Berlin, Deutschland
| | - Michael Zoller
- Klinik für Anästhesiologie, LMU Klinikum, Marchioninistr. 15, 81377, München, Deutschland
| |
Collapse
|
38
|
Comparing the Effects of Exoskeletal-Type Robot-Assisted Gait Training on Patients with Ataxic or Hemiplegic Stroke. Brain Sci 2022; 12:brainsci12091261. [PMID: 36138997 PMCID: PMC9497144 DOI: 10.3390/brainsci12091261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 09/09/2022] [Accepted: 09/14/2022] [Indexed: 11/16/2022] Open
Abstract
This study aimed to discover the effects of robotic rehabilitation utilizing an exoskeletal-type robot-assisted gait training (RAGT) device on patients with ataxic and hemiplegic stroke and to compare its effectiveness between the two groups. This was a retrospective study, and the electronic charts of 22 patients who underwent RAGT treatment from October 2019 to June 2021 were reviewed. Patients were divided into ataxic and hemiplegic groups based on their symptoms. The clinical outcome measures included the Berg balance scale (BBS), functional ambulation category (FAC), and mobility subcategories of the modified Barthel Index (MBI-m). Outcome measures were reviewed at two points within 48 h, before and after RAGT with EXOWALK®, a type of exoskeletal robot. After the RAGT sessions, total patients in both ataxic and hemiplegic groups demonstrated statistically significant improvements in BBS (p < 0.0001, p = 0.002, and p = 0.005, respectively) and MBI-m (p < 0.0001, p = 0.002, and p = 0.011, respectively). Additionally, FAC after RAGT was significantly improved (p = 0.0056). The regression coefficient of the number of RAGT treatments for BBS changes in the nine subjects was estimated to be 2.45; 3.50 in the ataxic group and 2.26 in the hemiplegic group. The regression coefficient of the number of RAGT treatments for MBI-m changes in the nine subjects was estimated to be 0.16; 4.00 in the ataxic group and −0.52 in the hemiplegic group. Our results suggest that RAGT using an exoskeletal-type robot, EXOWALK®, could be effective for improving walking capacity, balance, and daily activities of life in patients with ataxic and hemiplegic stroke.
Collapse
|
39
|
Lin YN, Huang SW, Kuan YC, Chen HC, Jian WS, Lin LF. Hybrid robot-assisted gait training for motor function in subacute stroke: a single-blind randomized controlled trial. J Neuroeng Rehabil 2022; 19:99. [PMID: 36104706 PMCID: PMC9476570 DOI: 10.1186/s12984-022-01076-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 09/01/2022] [Indexed: 11/29/2022] Open
Abstract
Background Robot-assisted gait training (RAGT) is a practical treatment that can complement conventional rehabilitation by providing high-intensity repetitive training for patients with stroke. RAGT systems are usually either of the end-effector or exoskeleton types. We developed a novel hybrid RAGT system that leverages the advantages of both types. Objective This single-blind randomized controlled trial evaluated the beneficial effects of the novel RAGT system both immediately after the intervention and at the 3-month follow-up in nonambulatory patients with subacute stroke. Methods We recruited 40 patients with subacute stroke who were equally randomized to receive conventional rehabilitation either alone or with the addition of 15 RAGT sessions. We assessed lower-extremity motor function, balance, and gait performance by using the following tools: active range of motion (AROM), manual muscle test (MMT), the Fugl–Meyer Assessment (FMA) lower-extremity subscale (FMA-LE) and total (FMA-total), Postural Assessment Scale for Stroke (PASS), Berg Balance Scale (BBS), Tinetti Performance-Oriented Mobility Assessment (POMA) balance and gait subscores, and the 3-m and 6-m walking speed and Timed Up and Go (TUG) tests. These measurements were performed before and after the intervention and at the 3-month follow-up. Results Both groups demonstrated significant within-group changes in the AROM, MMT, FMA-LE, FMA-total, PASS, BBS, POMA, TUG, and 3-m and 6-m walking speed tests before and after intervention and at the 3-month follow-up (p < 0.05). The RAGT group significantly outperformed the control group only in the FMA-LE (p = 0.014) and total (p = 0.002) assessments. Conclusion Although the novel hybrid RAGT is effective, strong evidence supporting its clinical effectiveness relative to controls in those with substantial leg dysfunction after stroke remains elusive. Trial registration The study was registered with an International Standard Randomized Controlled Trial Number, ISRCTN, ISRCTN15088682. Registered retrospectively on September 16, 2016, at https://www.isrctn.com/ISRCTN15088682
Collapse
|
40
|
Stroke survivor perceptions of using an exoskeleton during acute gait rehabilitation. Sci Rep 2022; 12:14185. [PMID: 35986162 PMCID: PMC9391354 DOI: 10.1038/s41598-022-18188-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 08/08/2022] [Indexed: 12/13/2022] Open
Abstract
Robotic-assisted gait training (RAGT) devices allow intensive high repetition of the gait cycle in individuals with locomotor disability, with reduced therapist effort. In addition to usual rehabilitation, RAGT post-stroke improves the likelihood of regaining independent walking, with maximum efficacy identified in the acute and subacute phases of stroke. This study explores the usability and acceptance of RAGT among persons with stroke in an acute hospital setting and examines users’ perceptions of two different modes of robotic assistance provided during rehabilitation. A mixed-methods approach comprised semi-structed interviews of end-user perspectives of RAGT in an acute hospital setting following stroke and two 10-point Likert scales rating how comfortable and how natural robotic gait felt using different assistance modes. Content analysis of qualitative data was undertaken with results synthesised by common meaning units. Quantitative data were reported using summary statistics, with Spearmann’s correlation co-efficient examining the relationship between Likert scale ratings and measures of participants’ stroke related disability. Ten individuals (6 men; 4 women; mean age of 64.5. ± 13 years) were recruited in an acute hospital setting following admission with a stroke diagnosis. Content analysis of interview transcripts identified discussion units centring around positive aspects of how helpful the device was, negative aspects related to set-up time, weight of the device and multiple instructions delivered during use. Initially participants identified that the device could look intimidating, and they feared falling in the device but they subsequently identified the correct mindset for using the device is to trust the technology and not be afraid. Mean ratings for device comfort (7.94 ± 1.4) and how natural walking felt (7.05 ± 1.9) were favourable. Interestingly, a strong relationship was identified, whereby the higher the level of disability, the more natural participants rated walking in the device during maximal assistance mode (rho = 0.62; p = 0.138). This study suggests individuals in the early phases of stroke perceive RAGT to be acceptable and helpful in the main, with some associated negative aspects. Walking in the device was rated as comfortable and natural. Those with greater disability rated the assisted walking as more natural.
Collapse
|
41
|
Kuwahara W, Sasaki S, Yamamoto R, Kawakami M, Kaneko F. The effects of robot-assisted gait training combined with non-invasive brain stimulation on lower limb function in patients with stroke and spinal cord injury: A systematic review and meta-analysis. Front Hum Neurosci 2022; 16:969036. [PMID: 36051968 PMCID: PMC9426300 DOI: 10.3389/fnhum.2022.969036] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 07/19/2022] [Indexed: 11/29/2022] Open
Abstract
Objective: This study aimed to investigate the effect of robot-assisted gait training (RAGT) therapy combined with non-invasive brain stimulation (NIBS) on lower limb function in patients with stroke and spinal cord injury (SCI). Data sources PubMed, Cochrane Central Register of Controlled Trials, Ovid MEDLINE, and Web of Science were searched. Study selection Randomized controlled trials (RCTs) published as of 3 March 2021. RCTs evaluating RAGT combined with NIBS, such as transcranial direct current stimulation (tDCS) and repetitive transcranial magnetic stimulation (rTMS), for lower limb function (e.g., Fugl-Meyer assessment for patients with stroke) and activities (i.e., gait velocity) in patients with stroke and SCI were included. Data extraction Two reviewers independently screened the records, extracted the data, and assessed the risk of bias. Data synthesis A meta-analysis of five studies (104 participants) and risk of bias were conducted. Pooled estimates demonstrated that RAGT combined with NIBS significantly improved lower limb function [standardized mean difference (SMD) = 0.52; 95% confidence interval (CI) = 0.06–0.99] but not lower limb activities (SMD = −0.13; 95% CI = −0.63–0.38). Subgroup analyses also failed to find a greater improvement in lower limb function of RAGT with tDCS compared to sham stimulation. No significant differences between participant characteristics or types of NIBS were observed. Conclusion This meta-analysis demonstrated that RAGT therapy in combination with NIBS was effective in patients with stroke and SCI. However, a greater improvement in lower limb function and activities were not observed using RAGT with tDCS compared to sham stimulation.
Collapse
Affiliation(s)
- Wataru Kuwahara
- Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan
- Department of Physical Therapy, Graduate School of Health Sciences, Tokyo Metropolitan University, Tokyo, Japan
| | - Shun Sasaki
- Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Rieko Yamamoto
- Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan
- Department of Artificial Environment, Safety, Environment and System Engineering, Graduate School of Environment and Information Sciences, Yokohama National University, Kanagawa, Japan
| | - Michiyuki Kawakami
- Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Fuminari Kaneko
- Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan
- Department of Physical Therapy, Graduate School of Health Sciences, Tokyo Metropolitan University, Tokyo, Japan
- *Correspondence: Fuminari Kaneko
| |
Collapse
|
42
|
Xie L, Yoon BH, Park C, You J(SH. Optimal Intervention Timing for Robotic-Assisted Gait Training in Hemiplegic Stroke. Brain Sci 2022; 12:brainsci12081058. [PMID: 36009121 PMCID: PMC9405763 DOI: 10.3390/brainsci12081058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 08/03/2022] [Accepted: 08/09/2022] [Indexed: 11/16/2022] Open
Abstract
This study was designed to determine the best intervention time (acute, subacute, and chronic stages) for Walkbot robot-assisted gait training (RAGT) rehabilitation to improve clinical outcomes, including sensorimotor function, balance, cognition, and activities of daily living, in hemiparetic stroke patients. Thirty-six stroke survivors (acute stage group (ASG), n = 11; subacute stage group (SSG), n = 15; chronic stage group (CSG), n = 10) consistently received Walkbot RAGT for 30 min/session, thrice a week, for 4 weeks. Six clinical outcome variables, including the Fugl–Meyer Assessment (FMA), Berg Balance Scale (BBS), Trunk Impairment Scale (TIS), Modified Barthel Index (MBI), Modified Ashworth Scale (MAS), and Mini-Mental State Examination, were examined before and after the intervention. Significant differences in the FMA, BBS, TIS, and MBI were observed between the ASG and the SSG or CSG. A significant time effect was observed for all variables, except for the MAS, in the ASG and SSG, whereas significant time effects were noted for the FMA, BBS, and TIS in the CSG. Overall, Walkbot RAGT was more favorable for acute stroke patients than for those with subacute or chronic stroke. This provides the first clinical evidence for the optimal intervention timing for RAGT in stroke.
Collapse
Affiliation(s)
- Lingchao Xie
- Sports Movement Artificial Robotics Technology (SMART) Institute, Department of Physical Therapy, Yonsei University, Wonju 26493, Korea
- Department of Physical Therapy, Yonsei University, Wonju 26493, Korea
| | - Bu Hyun Yoon
- Sports Movement Artificial Robotics Technology (SMART) Institute, Department of Physical Therapy, Yonsei University, Wonju 26493, Korea
- Department of Physical Therapy, Yonsei University, Wonju 26493, Korea
| | - Chanhee Park
- Sports Movement Artificial Robotics Technology (SMART) Institute, Department of Physical Therapy, Yonsei University, Wonju 26493, Korea
- Department of Physical Therapy, Yonsei University, Wonju 26493, Korea
| | - Joshua (Sung) H. You
- Sports Movement Artificial Robotics Technology (SMART) Institute, Department of Physical Therapy, Yonsei University, Wonju 26493, Korea
- Department of Physical Therapy, Yonsei University, Wonju 26493, Korea
- Correspondence: ; Tel.: +82-33-760-2476; Fax: +82-33-760-2496
| |
Collapse
|
43
|
Relation between Cortical Activation and Effort during Robot-Mediated Walking in Healthy People: A Functional Near-Infrared Spectroscopy Neuroimaging Study (fNIRS). SENSORS 2022; 22:s22155542. [PMID: 35898041 PMCID: PMC9329983 DOI: 10.3390/s22155542] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 07/19/2022] [Accepted: 07/22/2022] [Indexed: 02/01/2023]
Abstract
Force and effort are important components of a motor task that can impact rehabilitation effectiveness. However, few studies have evaluated the impact of these factors on cortical activation during gait. The purpose of the study was to investigate the relation between cortical activation and effort required during exoskeleton-mediated gait at different levels of physical assistance in healthy individuals. Twenty-four healthy participants walked 10 m with an exoskeleton that provided four levels of assistance: 100%, 50%, 0%, and 25% resistance. Functional near-infrared spectroscopy (fNIRS) was used to measure cerebral flow dynamics with a 20-channel (plus two reference channels) device that covered most cortical motor regions bilaterally. We measured changes in oxyhemoglobin (HbO2) and deoxyhemoglobin (HbR). According to HbO2 levels, cortical activation only differed slightly between the assisted conditions and rest. In contrast, bilateral and widespread cortical activation occurred during the two unassisted conditions (somatosensory, somatosensory association, primary motor, premotor, and supplementary motor cortices). A similar pattern was seen for HbR levels, with a smaller number of significant channels than for HbO2. These results confirmed the hypothesis that there is a relation between cortical activation and level of effort during gait. This finding should help to optimize neurological rehabilitation strategies to drive neuroplasticity.
Collapse
|
44
|
Schuster-Amft C, Kool J, Möller JC, Schweinfurther R, Ernst MJ, Reicherzer L, Ziller C, Schwab ME, Wieser S, Wirz M. Feasibility and cost description of highly intensive rehabilitation involving new technologies in patients with post-acute stroke-a trial of the Swiss RehabTech Initiative. Pilot Feasibility Stud 2022; 8:139. [PMID: 35791026 PMCID: PMC9254509 DOI: 10.1186/s40814-022-01086-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 06/01/2022] [Indexed: 11/25/2022] Open
Abstract
Background There is a need to provide highly repetitive and intensive therapy programs for patients after stroke to improve sensorimotor impairment. The employment of technology-assisted training may facilitate access to individualized rehabilitation of high intensity. The purpose of this study was to evaluate the safety and acceptance of a high-intensity technology-assisted training for patients after stroke in the subacute or chronic phase and to establish its feasibility for a subsequent randomized controlled trial. Methods A longitudinal, multi-center, single-group study was conducted in four rehabilitation clinics. Patients participated in a high-intensity 4-week technology-assisted trainings consisting of 3 to 5 training days per week and at least 5 training sessions per day with a duration of 45 min each. Feasibility was evaluated by examining recruitment, intervention-related outcomes (adherence, subjectively perceived effort and effectiveness, adverse events), patient-related outcomes, and efficiency gains. Secondary outcomes focused on all three domains of the International Classification of Functioning Disability and Health. Data were analyzed and presented in a descriptive manner. Results In total, 14 patients after stroke were included. Participants exercised between 12 and 21 days and received between 28 and 82 (mean 46 ± 15) technology-assisted trainings during the study period, which corresponded to 2 to 7 daily interventions. Treatment was safe. No serious adverse events were reported. Minor adverse events were related to tiredness and exertion. From baseline to the end of the intervention, patients improved in several functional performance assessments of the upper and lower extremities. The efficiency gains of the trainings amounted to 10% to 58%, in particular for training of the whole body and for walking training in severely impaired patients. Conclusions Highly intensive technology-assisted training appears to be feasible for in- and outpatients in the subacute or chronic phase after stroke. Further clinical trials are warranted in order to define the most comprehensive approach to highly intensive technology-assisted training and to investigate its efficacy in patients with neurological disorders. Trial registration ClinicalTrials.gov Identifier: NCT03641651 at August 31st 2018
Collapse
Affiliation(s)
- Corina Schuster-Amft
- Research Department, Reha Rheinfelden, Rheinfelden, Switzerland.,School of Engineering and Computer Science, Bern University of Applied Sciences, Biel, Switzerland.,Department of Sports, Exercise and Health, University of Basel, Basel, Switzerland
| | - Jan Kool
- Rehabilitation Centre Valens, Valens, Switzerland
| | - J Carsten Möller
- Center for Neurological Rehabilitation, Zihlschlacht, Switzerland.,Faculty of Medicine, Philipps University, Marburg, Germany
| | | | - Markus J Ernst
- ZHAW Zurich University of Applied Sciences, Institute of Physiotherapy, Katharina-Sulzer-Platz 9, Postfach, CH-8401, Winterthur, Switzerland
| | - Leah Reicherzer
- ZHAW Zurich University of Applied Sciences, Institute of Physiotherapy, Katharina-Sulzer-Platz 9, Postfach, CH-8401, Winterthur, Switzerland
| | - Carina Ziller
- Research Department, Reha Rheinfelden, Rheinfelden, Switzerland
| | - Martin E Schwab
- Institute for Regenerative Medicine, University of Zurich, Zurich, Switzerland
| | - Simon Wieser
- ZHAW Zurich University of Applied Sciences, Winterthur Institute of Health Economics, Winterthur, Switzerland
| | - Markus Wirz
- ZHAW Zurich University of Applied Sciences, Institute of Physiotherapy, Katharina-Sulzer-Platz 9, Postfach, CH-8401, Winterthur, Switzerland.
| | | |
Collapse
|
45
|
George Hornby T. Rethinking the tools in the toolbox. J Neuroeng Rehabil 2022; 19:61. [PMID: 35725474 PMCID: PMC9210722 DOI: 10.1186/s12984-022-01041-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 05/19/2022] [Indexed: 11/24/2022] Open
Abstract
The commentary by Dr. Labruyere on the article by Kuo et al. (J Neuroeng Rehabil. 2021; 18:174) posits that randomized trials evaluating the comparative efficacy of robotic devices for patients with neurological injury may not be needed. The primary argument is that researchers and clinicians do not know how to optimize training parameters to maximize the benefits of this therapy, and studies vary in how they deliver robotic-assisted training. While I concur with the suggestion that additional trials using robotic devices as therapeutic tools are not warranted, an alternative hypothesis is that future studies will yield similar equivocal results regardless of the training parameters used. Attempts are made to detail arguments supporting this premise, including the notion that the original rationale for providing robotic-assisted walking training, particularly with exoskeletal devices, was flawed and that the design of some of the more commonly used devices places inherent limitations on the ability to maximize neuromuscular demands during training. While these devices arrived nearly 20 years ago amid substantial enthusiasm, we have since learned valuable lessons from robotic-assisted and other rehabilitation studies on some of the critical parameters that influence neuromuscular and cardiovascular activity during locomotor training, and different strategies are now needed to optimize rehabilitation outcomes.
Collapse
Affiliation(s)
- T George Hornby
- Department of Physical Medicine and Rehabilitation, Indiana University School of Medicine, 4141 Shore Drive, Indianapolis, IN, 46254, USA. .,Rehabilitation Hospital of Indiana, Indianapolis, IN, USA. .,Departments of Physical Medicine and Rehabilitation, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
| |
Collapse
|
46
|
Labruyère R. Robot-assisted gait training: more randomized controlled trials are needed! Or maybe not? J Neuroeng Rehabil 2022; 19:58. [PMID: 35676742 PMCID: PMC9178806 DOI: 10.1186/s12984-022-01037-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 05/26/2022] [Indexed: 11/30/2022] Open
Abstract
I was encouraged by the recent article by Kuo et al. entitled “Prediction of robotic neurorehabilitation functional ambulatory outcome in patients with neurological disorders” to write an opinion piece on the possible further development of stationary robot-assisted gait training research. Randomized clinical trials investigating stationary gait robots have not shown the superiority of these devices over comparable interventions regarding clinical effectiveness, and there are clinical practice guidelines that even recommend against their use. Nevertheless, these devices are still widely used, and our field needs to find ways to apply these devices more effectively. The authors of the article mentioned above feed different machine learning algorithms with patients’ data from the beginning of a robot-assisted gait training intervention using the robot Lokomat. The output of these algorithms allows predictions of the clinical outcome (i.e., functional ambulation categories) while the patients are still participating in the intervention. Such an analysis based on the collection of the device’s data could optimize the application of these devices. The article provides an example of how our field of research could make progress as we advance, and in this opinion piece, I would like to present my view on the prioritization of upcoming research on robot-assisted gait training. Furthermore, I briefly speculate on some drawbacks of randomized clinical trials in the field of robot-assisted gait training and how the quality and thus the effectiveness of robot-assisted gait training could potentially be improved based on the collection and analysis of clinical training data, a better patient selection and by giving greater weight to the motivational aspects for the participants.
Collapse
Affiliation(s)
- Rob Labruyère
- Swiss Children's Rehab, University Children's Hospital Zurich, Mühlebergstrasse 104, 8910, Affoltern am Albis, Switzerland. .,Children's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.
| |
Collapse
|
47
|
Bressi F, Cinnera AM, Morone G, Campagnola B, Cricenti L, Santacaterina F, Miccinilli S, Zollo L, Paolucci S, Di Lazzaro V, Sterzi S, Bravi M. Combining Robot-Assisted Gait Training and Non-Invasive Brain Stimulation in Chronic Stroke Patients: A Systematic Review. Front Neurol 2022; 13:795788. [PMID: 35585844 PMCID: PMC9108455 DOI: 10.3389/fneur.2022.795788] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 03/15/2022] [Indexed: 11/13/2022] Open
Abstract
Gait impairment is one of the most common disorders of patients with chronic stroke, which hugely affects the ability to carry out the activities of daily living and the quality of life. Recently, traditional rehabilitation techniques have been associated with non-invasive brain stimulation (NIBS) techniques, which enhance brain plasticity, with the aim of promoting recovery in patients with chronic stroke. NIBS effectiveness in improving gait parameters in patients with chronic stroke has been in several studies evaluated. Robotic devices are emerging as promising tools for the treatment of stroke-related disabilities by performing repetitive, intensive, and task-specific treatments and have been proved to be effective for the enhancement of motor recovery in patients with chronic stroke. To date, several studies have examined the combination of NIBS with robotic-assisted gait training, but the effectiveness of this approach is not yet well established. The main purpose of this systematic review is to clarify whether the combination of NIBS and robot-assisted gait training may improve walking function in patients with chronic stroke. Our systematic review was conducted according to the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. Studies eligible for review were identified through PubMed/MEDLINE, Embase, Scopus, and PEDro from inception to March 15, 2021, and the outcomes considered were gait assessments. Seven studies were included in the qualitative analysis of this systematic review, with a total population of 186 patients with chronic stroke. All studies specified technical characteristics of robotic devices and NIBS used, with high heterogeneity of protocols. Methodological studies have shown a significantly greater improvement in walking capacity recorded with 6MWT. Finally, research studies have highlighted a positive effect on walking recovery by combination of robot-assisted gait training with non-invasive brain stimulation. Furthermore, future studies should identify the best characteristics of the combined therapeutic protocols.
Collapse
Affiliation(s)
- Federica Bressi
- Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University of Rome, Rome, Italy
- *Correspondence: Federica Bressi
| | - Alex Martino Cinnera
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Santa Lucia Foundation, Rome, Italy
| | - Giovanni Morone
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Santa Lucia Foundation, Rome, Italy
| | - Benedetta Campagnola
- Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University of Rome, Rome, Italy
| | - Laura Cricenti
- Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University of Rome, Rome, Italy
| | - Fabio Santacaterina
- Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University of Rome, Rome, Italy
| | - Sandra Miccinilli
- Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University of Rome, Rome, Italy
| | - Loredana Zollo
- Unit of Advanced Robotics and Human-Centred Technologies, Campus Bio-Medico University of Rome, Rome, Italy
| | - Stefano Paolucci
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Santa Lucia Foundation, Rome, Italy
| | - Vincenzo Di Lazzaro
- Unity of Neurology, Neurophysiology, Neurobiology, Department of Medicine, Campus Bio-Medico University of Rome, Rome, Italy
| | - Silvia Sterzi
- Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University of Rome, Rome, Italy
| | - Marco Bravi
- Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University of Rome, Rome, Italy
| |
Collapse
|
48
|
Efficacy of electromechanical-assisted gait training on clinical walking function and gait symmetry after brain injury of stroke: a randomized controlled trial. Sci Rep 2022; 12:6880. [PMID: 35477986 PMCID: PMC9046288 DOI: 10.1038/s41598-022-10889-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 04/08/2022] [Indexed: 11/21/2022] Open
Abstract
Electromechanical-assisted gait training may be an effective intervention to promote motor recovery after brain injury. However, many studies still have difficulties in clarifying the difference between electromechanical-assisted gait training and conventional gait training. To evaluate the effectiveness of electromechanical-assisted gait training compared to that of conventional gait training on clinical walking function and gait symmetry of stroke patients. We randomly assigned patients with stroke (n = 144) to a control group (physical therapist-assisted gait training) and an experimental group (electromechanical gait training). Both types of gait training were done for 30 min each day, 5 days a week for 4 weeks. The primary endpoint was the change in functional ambulatory category (FAC). Secondary endpoints were clinical walking functions and gait symmetries of swing time and step length. All outcomes were measured at baseline (pre-intervention) and at 4 weeks after the baseline (post-intervention). FAC showed significant improvement after the intervention, as did clinical walking functions, in both groups. The step-length asymmetry improved in the control group, but that in the experimental group and the swing-time asymmetry in both groups did not show significant improvement. In the subgroup analysis of stroke duration of 90 days, FAC and clinical walking functions showed more significant improvement in the subacute group than in the chronic group. However, gait symmetries did not show any significant changes in either the subacute or the chronic group. Electromechanically assisted gait training by EXOWALK was as effective as conventional gait training with a physiotherapist. Although clinical walking function in the subacute group improved more than in the chronic group, gait asymmetry did not improve for either group after gait training. Trial registration: KCT0003411 Clinical Research Information Service (CRIS), Republic of Korea.
Collapse
|
49
|
van Dellen F, Labruyère R. Settings matter: a scoping review on parameters in robot-assisted gait therapy identifies the importance of reporting standards. J Neuroeng Rehabil 2022; 19:40. [PMID: 35459246 PMCID: PMC9034544 DOI: 10.1186/s12984-022-01017-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 04/04/2022] [Indexed: 12/02/2022] Open
Abstract
Background Lokomat therapy for gait rehabilitation has become increasingly popular. Most evidence suggests that Lokomat therapy is equally effective as but not superior to standard therapy approaches. One reason might be that the Lokomat parameters to personalize therapy, such as gait speed, body weight support and Guidance Force, are not optimally used. However, there is little evidence available about the influence of Lokomat parameters on the effectiveness of the therapy. Nevertheless, an appropriate reporting of the applied therapy parameters is key to the successful clinical transfer of study results. The aim of this scoping review was therefore to evaluate how the currently available clinical studies report Lokomat parameter settings and map the current literature on Lokomat therapy parameters. Methods and results A systematic literature search was performed in three databases: Pubmed, Scopus and Embase. All primary research articles performing therapy with the Lokomat in neurologic populations in English or German were included. The quality of reporting of all clinical studies was assessed with a framework developed for this particular purpose. We identified 208 studies investigating Lokomat therapy in patients with neurologic diseases. The reporting quality was generally poor. Less than a third of the studies indicate which parameter settings have been applied. The usability of the reporting for a clinical transfer of promising results is therefore limited. Conclusion Although the currently available evidence on Lokomat parameters suggests that therapy parameters might have an influence on the effectiveness, there is currently not enough evidence available to provide detailed recommendations. Nevertheless, clinicians should pay close attention to the reported therapy parameters when translating research findings to their own clinical practice. To this end, we propose that the quality of reporting should be improved and we provide a reporting framework for authors as a quality control before submitting a Lokomat-related article. Supplementary Information The online version contains supplementary material available at 10.1186/s12984-022-01017-3.
Collapse
Affiliation(s)
- Florian van Dellen
- Sensory-Motor Systems Lab, Department of Health Sciences and Technology, ETH Zurich, Tannenstrasse 1, 8092, Zurich, Switzerland. .,Swiss Children's Rehab, University Children's Hospital Zurich, Mühlebergstrasse 104, 8910, Affoltern am Albis, Switzerland. .,Children's Research Center, University Children's Hospital of Zurich, University of Zurich, Steinwiesstrasse 75, 8032, Zurich, Switzerland.
| | - Rob Labruyère
- Swiss Children's Rehab, University Children's Hospital Zurich, Mühlebergstrasse 104, 8910, Affoltern am Albis, Switzerland.,Children's Research Center, University Children's Hospital of Zurich, University of Zurich, Steinwiesstrasse 75, 8032, Zurich, Switzerland
| |
Collapse
|
50
|
Gamified Neurorehabilitation Strategies for Post-stroke Motor Recovery: Challenges and Advantages. Curr Neurol Neurosci Rep 2022; 22:183-195. [PMID: 35278172 PMCID: PMC8917333 DOI: 10.1007/s11910-022-01181-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/12/2022] [Indexed: 11/23/2022]
Abstract
Abstract Purpose of Review Stroke is the leading cause of permanent motor disability in the United States (US), but there has been little progress in developing novel, effective strategies for treating post-stroke motor deficits. The past decade has seen the rapid development of many promising, gamified neurorehabilitation technologies; however, clinical adoption remains limited. The purpose of this review is to evaluate the recent literature surrounding the adoption and use of gamification in neurorehabilitation after stroke. Recent Findings Gamification of neurorehabilitation protocols is both feasible and effective. Deployment strategies and scalability need to be addressed with more rigor. Relationship between engaged time on task and rehabilitation outcomes should be explored further as it may create benefits beyond repetitive movement. Summary As gamification becomes a more common and feasible way of delivering exercise-based therapies, additional benefits of gamification are emerging. In spite of this, questions still exist about scalability and widespread clinical adoption.
Collapse
|